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  • Manager, Ontology and Data Modeling - Commercial Bank

    Capital One 4.7company rating

    Harrisonburg, VA jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities: Guide the definition, design, and deployment of ontology-based data products in support of Capital One's priorities and business objectives Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, and SKOS Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies: Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives Able to communicate and advocate the value of using industry standards, applications, and open source data sets Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models Able to maintain and update data and models according to industry best practice Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models Able to assist in the implementation and support of data standardization and ontology governance strategies and processes Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends Has very strong research skills Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions Continually focused on improving the responsiveness and quality of the solutions delivered Exhibits high energy, passion, self-motivation, and creativity for problem solving Basic Qualifications: Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL and SPARQL Preferred Qualifications: Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $149,800 - $171,000 for Manager, Ontology and Data ModelingChicago, IL: $149,800 - $171,000 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingRichmond, VA: $149,800 - $171,000 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $164.8k-188.1k yearly 1d ago
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  • Manager, Ontology and Data Modeling - Commercial Bank

    Capital One 4.7company rating

    Washington, DC jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities: Guide the definition, design, and deployment of ontology-based data products in support of Capital One's priorities and business objectives Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, and SKOS Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies: Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives Able to communicate and advocate the value of using industry standards, applications, and open source data sets Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models Able to maintain and update data and models according to industry best practice Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models Able to assist in the implementation and support of data standardization and ontology governance strategies and processes Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends Has very strong research skills Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions Continually focused on improving the responsiveness and quality of the solutions delivered Exhibits high energy, passion, self-motivation, and creativity for problem solving Basic Qualifications: Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL and SPARQL Preferred Qualifications: Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $149,800 - $171,000 for Manager, Ontology and Data ModelingChicago, IL: $149,800 - $171,000 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingRichmond, VA: $149,800 - $171,000 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $164.8k-188.1k yearly 1d ago
  • Manager, Ontology and Data Modeling

    Capital One 4.7company rating

    New York, NY jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives. Able to communicate and advocate the value of using industry standards, applications, and open source data sets. Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment. Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata. Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models. Able to maintain and update data and models according to industry best practice. Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models. Able to assist in the implementation and support of data standardization and ontology governance strategies and processes. Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems. Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends. Has very strong research skills. Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience. Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions. Continually focused on improving the responsiveness and quality of the solutions delivered. Exhibits high energy, passion, self-motivation, and creativity for problem solving. Basic Qualifications Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL or SPARQL Preferred Qualifications Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence. Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Boston, MA: $164,800 - $188,100 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingNew York, NY: $179,700 - $205,100 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $179.7k-205.1k yearly 1d ago
  • Manager, Ontology and Data Modeling

    Capital One 4.7company rating

    Boston, MA jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives. Able to communicate and advocate the value of using industry standards, applications, and open source data sets. Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment. Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata. Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models. Able to maintain and update data and models according to industry best practice. Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models. Able to assist in the implementation and support of data standardization and ontology governance strategies and processes. Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems. Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends. Has very strong research skills. Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience. Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions. Continually focused on improving the responsiveness and quality of the solutions delivered. Exhibits high energy, passion, self-motivation, and creativity for problem solving. Basic Qualifications Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL or SPARQL Preferred Qualifications Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence. Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Boston, MA: $164,800 - $188,100 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingNew York, NY: $179,700 - $205,100 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $179.7k-205.1k yearly 1d ago
  • Manager, Ontology and Data Modeling - Commercial Bank

    Capital One 4.7company rating

    Dover, DE jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities: Guide the definition, design, and deployment of ontology-based data products in support of Capital One's priorities and business objectives Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, and SKOS Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies: Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives Able to communicate and advocate the value of using industry standards, applications, and open source data sets Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models Able to maintain and update data and models according to industry best practice Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models Able to assist in the implementation and support of data standardization and ontology governance strategies and processes Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends Has very strong research skills Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions Continually focused on improving the responsiveness and quality of the solutions delivered Exhibits high energy, passion, self-motivation, and creativity for problem solving Basic Qualifications: Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL and SPARQL Preferred Qualifications: Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $149,800 - $171,000 for Manager, Ontology and Data ModelingChicago, IL: $149,800 - $171,000 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingRichmond, VA: $149,800 - $171,000 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $164.8k-188.1k yearly 1d ago
  • Data Center Construction Manager

    Blackrock Resources LLC 4.4company rating

    Hartford, CT jobs

    You must be able to work in the U.S. without sponsorship. No C2C or 3rd parties, please. Data Center Construction Manager in Hartford, CT $85/hr. - $100/hr. Contract role, on-site Regional travel required / extended onsite assignments We are currently seeking a Data Center Construction Manager to lead large-scale data center construction projects throughout Connecticut. This role is ideal for a hands-on construction leader with deep technical knowledge and a strong track record delivering mission-critical facilities. What You'll Be Responsible For: Lead end-to-end execution of large-scale data center construction projects Manage civil/site work, structural activities, and full MEP coordination Oversee commissioning activities and ensure readiness for turnover Direct and coordinate multiple subcontractors while maintaining schedule, budget, and quality Enforce site safety programs and ensure compliance with all regulatory requirements Collaborate closely with owners, vendors, utilities, inspectors, and internal teams Track progress, resolve field issues, and drive projects to successful completion Support extended onsite assignments and regional travel as required What We're Looking For: Proven experience managing data center construction projects Strong background in civil/site work, MEP systems, and commissioning Demonstrated success managing subcontractors, schedules, budgets, and safety programs Excellent communication skills with owners, vendors, utilities, and internal stakeholders Ability to operate effectively in fast-paced, high-visibility environments Willingness and availability for extended onsite assignments This is a strong opportunity for a seasoned construction professional who thrives in complex, high-demand data center environments.
    $85-100 hourly 1d ago
  • Manager, Ontology and Data Modeling

    Capital One 4.7company rating

    Richmond, VA jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives. Able to communicate and advocate the value of using industry standards, applications, and open source data sets. Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment. Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata. Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models. Able to maintain and update data and models according to industry best practice. Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models. Able to assist in the implementation and support of data standardization and ontology governance strategies and processes. Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems. Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends. Has very strong research skills. Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience. Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions. Continually focused on improving the responsiveness and quality of the solutions delivered. Exhibits high energy, passion, self-motivation, and creativity for problem solving. Basic Qualifications Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL or SPARQL Preferred Qualifications Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence. Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Boston, MA: $164,800 - $188,100 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingNew York, NY: $179,700 - $205,100 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $70k-93k yearly est. 1d ago
  • Manager, Ontology and Data Modeling - Commercial Bank

    Capital One 4.7company rating

    Norfolk, VA jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities: Guide the definition, design, and deployment of ontology-based data products in support of Capital One's priorities and business objectives Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, and SKOS Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies: Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives Able to communicate and advocate the value of using industry standards, applications, and open source data sets Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models Able to maintain and update data and models according to industry best practice Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models Able to assist in the implementation and support of data standardization and ontology governance strategies and processes Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends Has very strong research skills Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions Continually focused on improving the responsiveness and quality of the solutions delivered Exhibits high energy, passion, self-motivation, and creativity for problem solving Basic Qualifications: Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL and SPARQL Preferred Qualifications: Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $149,800 - $171,000 for Manager, Ontology and Data ModelingChicago, IL: $149,800 - $171,000 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingRichmond, VA: $149,800 - $171,000 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $164.8k-188.1k yearly 1d ago
  • Manager, Ontology and Data Modeling - Commercial Bank

    Capital One 4.7company rating

    Charlottesville, VA jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities: Guide the definition, design, and deployment of ontology-based data products in support of Capital One's priorities and business objectives Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, and SKOS Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies: Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives Able to communicate and advocate the value of using industry standards, applications, and open source data sets Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models Able to maintain and update data and models according to industry best practice Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models Able to assist in the implementation and support of data standardization and ontology governance strategies and processes Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends Has very strong research skills Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions Continually focused on improving the responsiveness and quality of the solutions delivered Exhibits high energy, passion, self-motivation, and creativity for problem solving Basic Qualifications: Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL and SPARQL Preferred Qualifications: Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $149,800 - $171,000 for Manager, Ontology and Data ModelingChicago, IL: $149,800 - $171,000 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingRichmond, VA: $149,800 - $171,000 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $164.8k-188.1k yearly 1d ago
  • Manager, Ontology and Data Modeling - Commercial Bank

    Capital One 4.7company rating

    Salisbury, MD jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities: Guide the definition, design, and deployment of ontology-based data products in support of Capital One's priorities and business objectives Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, and SKOS Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies: Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives Able to communicate and advocate the value of using industry standards, applications, and open source data sets Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models Able to maintain and update data and models according to industry best practice Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models Able to assist in the implementation and support of data standardization and ontology governance strategies and processes Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends Has very strong research skills Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions Continually focused on improving the responsiveness and quality of the solutions delivered Exhibits high energy, passion, self-motivation, and creativity for problem solving Basic Qualifications: Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL and SPARQL Preferred Qualifications: Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $149,800 - $171,000 for Manager, Ontology and Data ModelingChicago, IL: $149,800 - $171,000 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingRichmond, VA: $149,800 - $171,000 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $164.8k-188.1k yearly 1d ago
  • Manager, Ontology and Data Modeling - Commercial Bank

    Capital One 4.7company rating

    Newport News, VA jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities: Guide the definition, design, and deployment of ontology-based data products in support of Capital One's priorities and business objectives Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, and SKOS Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies: Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives Able to communicate and advocate the value of using industry standards, applications, and open source data sets Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models Able to maintain and update data and models according to industry best practice Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models Able to assist in the implementation and support of data standardization and ontology governance strategies and processes Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends Has very strong research skills Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions Continually focused on improving the responsiveness and quality of the solutions delivered Exhibits high energy, passion, self-motivation, and creativity for problem solving Basic Qualifications: Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL and SPARQL Preferred Qualifications: Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $149,800 - $171,000 for Manager, Ontology and Data ModelingChicago, IL: $149,800 - $171,000 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingRichmond, VA: $149,800 - $171,000 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $164.8k-188.1k yearly 1d ago
  • Manager, Ontology and Data Modeling

    Capital One 4.7company rating

    Baltimore, MD jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives. Able to communicate and advocate the value of using industry standards, applications, and open source data sets. Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment. Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata. Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models. Able to maintain and update data and models according to industry best practice. Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models. Able to assist in the implementation and support of data standardization and ontology governance strategies and processes. Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems. Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends. Has very strong research skills. Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience. Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions. Continually focused on improving the responsiveness and quality of the solutions delivered. Exhibits high energy, passion, self-motivation, and creativity for problem solving. Basic Qualifications Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL or SPARQL Preferred Qualifications Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence. Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Boston, MA: $164,800 - $188,100 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingNew York, NY: $179,700 - $205,100 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $65k-86k yearly est. 1d ago
  • Manager, Ontology and Data Modeling - Commercial Bank

    Capital One 4.7company rating

    York, PA jobs

    The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities: Guide the definition, design, and deployment of ontology-based data products in support of Capital One's priorities and business objectives Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, and SKOS Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies: Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives Able to communicate and advocate the value of using industry standards, applications, and open source data sets Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models Able to maintain and update data and models according to industry best practice Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models Able to assist in the implementation and support of data standardization and ontology governance strategies and processes Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends Has very strong research skills Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions Continually focused on improving the responsiveness and quality of the solutions delivered Exhibits high energy, passion, self-motivation, and creativity for problem solving Basic Qualifications: Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years' experience or training with SQL and SPARQL Preferred Qualifications: Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $149,800 - $171,000 for Manager, Ontology and Data ModelingChicago, IL: $149,800 - $171,000 for Manager, Ontology and Data ModelingMcLean, VA: $164,800 - $188,100 for Manager, Ontology and Data ModelingRichmond, VA: $149,800 - $171,000 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $164.8k-188.1k yearly 1d ago
  • CRM Data, Reporting & Ops Director (Hybrid)

    Lucile Packard Foundation for Children's Health 4.5company rating

    Palo Alto, CA jobs

    A leading health foundation seeks a Director of CRM Operations, Data & Reporting. The role involves overseeing the CRM system's design and optimization, ensuring robust data structures, and leading a team of data professionals. Candidates should have a Bachelor's degree, 5+ years in database management, and strong skills in data workflows. Position offers hybrid work flexibility and a competitive salary range of $135,000 to $155,000 annual. #J-18808-Ljbffr
    $135k-155k yearly 2d ago
  • CRM Data, Reporting & Ops Director (Hybrid)

    Lucile Packard Foundation for Children's Health 4.5company rating

    Palo Alto, CA jobs

    A leading children's health foundation in Palo Alto is looking for a Director of CRM Operations, Data & Reporting to oversee the CRM design and functionality. The role involves managing a team responsible for data integrity and driving fundraising initiatives. Ideal candidates will possess strong leadership skills and over 5 years of experience in fundraising databases, with proficiency in Excel and Power BI. The position offers a competitive salary in the range of $135,000-$155,000 annually and supports hybrid working arrangements. #J-18808-Ljbffr
    $135k-155k yearly 4d ago
  • Director, ES Data Risk Lead - Enterprise Services Risk

    Capital One 4.7company rating

    Harrisonburg, VA jobs

    The Enterprise Services Risk organization is expanding with a focus on attracting innovative, pioneering, collaborative, and highly skilled professionals. We operate at the forefront of risk management, providing support for novel and developing technologies, as well as critical business strategies. Diverse perspectives and experiences are valued as we work to redefine the financial sector. As an eData Risk Director in Capital One's Business Risk Office, you will apply your risk management, strategic and project management expertise to drive success across and within the company's Enterprise Data organization. You will partner across Enterprise Services, ES Risk and the eData organization to develop and support best-in-class industry risk solutions in a manner that supports innovation and protects our customers, shareholders, and associates. Your contributions will drive organizational and strategic change through risk identification, measurement, analysis, and horizontal reporting in order to better manage the company's risk in an open and collaborative environment. In this role, you will: Lead risk reporting and analysis for our risk advisory organization, collaborate cross functionally across all lines of defense, and surface risk insights and drive efficient risk reporting and analysis Partner across both the business and ES Risk to drive well-managed activities (reporting, automation enhancements, process improvements, etc.) and strategic enhancements Build successful relationships with Enterprise Data and other team members to understand the impact of data and technology risk on critical business processes Own and manage Quarterly Examiner Review, serving as strategic liaison with senior leaders, data teams and stakeholders to deliver quarterly program updates and data quality metrics for Federal regulators. Perform risk reviews during various processes such as Risk Control and Self Assessments (RCSAs), Process Level Assessments (PLA), Exceptions, Applications, Targeted Risk Assessments and recommend on risk mitigation activities. Influence leaders across lines of defense on key data and technology risk mitigation strategies Conduct periodic risk reviews with the executives and support reporting for risk metrics Cross-functionally collaborate in monthly Project Increment (PI) planning meetings in align business objectives, identify and manage project dependencies, refine roadmaps, and mitigate risks and delays to meet 100% of Enterprise Data project milestones Support the Enterprise Services (ES) Risk organization by implementing new and innovative ideas Basic Qualifications: High School Diploma, GED or Equivalent Certification At least 7 years of experience in Data Management, Cybersecurity, Technology, Risk Management, or External Audit, or a combination At least 7 years of experience in project, process, or program management At least 7 years of experience supporting, partnering, and interacting with internal or external business clients At least 7 years of experience consulting with senior executives or strategy building At least 4 years of experience working in cross functional teams Preferred Qualifications: Bachelor's Degree or Military Experience At least 10 years of experience in Data Management, Cybersecurity, Technology, Risk Management or External Audit, or a combination At least 10 years of experience in project, process, or program management Cyber and Risk Certifications (CRISC, CISM, CRCM, CAMS, CIPP, ABA Risk Management Certification) 10+ years of experience in project or process management, or agile delivery At least 10 years of experience managing senior stakeholders across different business functions At least 10 years of experience writing communications and presentations for leadership audience At least 10 years of experience in strategy development, preferably working in financial services and/or technology Strong communication and relationship building skills, customer focus, and ability to collaborate and influence across teams to deliver Ability to set direction, delegate tasks, manage multiple stakeholder expectations, and coordinate a cross-functional team Excellent verbal presentation and written communication skills to confidently interact at all levels of the organization (e.g., technology/cyber organizations, enterprise business stakeholders, and executive leadership) Excellent problem-solving, analytical and critical thinking skills to effectively respond to shifting priorities, demands and timelines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,500 - $239,100 for Director, Cyber Risk & AnalysisMcLean, VA: $230,400 - $263,000 for Director, Cyber Risk & AnalysisNew York, NY: $251,400 - $286,900 for Director, Cyber Risk & AnalysisRichmond, VA: $209,500 - $239,100 for Director, Cyber Risk & AnalysisWilmington, DE: $209,500 - $239,100 for Director, Cyber Risk & Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $74k-98k yearly est. 1d ago
  • Director of CRM Operations, Data & Reporting

    Lucile Packard Foundation for Children's Health 4.5company rating

    Palo Alto, CA jobs

    ABOUT THE FOUNDATION The Lucile Packard Foundation for Children's Health, in partnership with Stanford Medicine and Lucile Packard Children's Hospital, unlocks philanthropy to transform health for children and families in Northern California - and around the world. Through fundraising and grantmaking, the Foundation drives scientific research, innovation, and policy change that will improve care, advance cures, and reform healthcare systems for this and future generations. MAIN FOCUS: The Director of CRM Operations, Data & Reporting oversees the design, integrity, and optimization of the Foundation's CRM, translating organizational needs into durable data systems and actionable insights. This role leads a team of data professionals, partners across the Foundation, and plays a central role in the multi-year CRM migration initiative . LOCATION: Palo Alto, CA (Hybrid strongly preferred). This role is hybrid, with an expectation of working an average of eight (8) days per month in our Palo Alto office; the successful candidate will be based in the Bay Area. Remote-eligible within the U.S. for an exceptional candidate; for remote hires, compensation will be adjusted based on geographic region. WHAT YOU'LL DO... The Director of CRM Operations, Data and Reporting connects the over-arching enterprise-wide meaning of data fields in the CRM to key business processes in the Foundation. The Director partners closely with other teams and Advancement Services colleagues to establish durable, regularly updated, robust CRM data structures that support dashboards, lists, reports, and deliver business insights that will drive fundraising success and propel our mission. The Director supports the Foundation's data strategy by designing and maintaining data structures, ensuring accurate and timely data flows in and out of the CRM system, and enabling colleagues to leverage data for meaningful insights. The Director manages a team of data professionals and a project manager; setting standards, delivering timely and high-quality results, and providing opportunities for learning and growth. This role is one of the key leaders of the project team to migrate the current fundraising database to a new platform over the next 2 to 3 years. This role reports to the Associate Vice President, Advancement Services and supervises the Assistant Director, Database Administration, Data and Reporting and the Project Manager, Advancement Services. The compensation range for this role is $135,000-$155,000 annually. YOU'LL BE RESPONSIBLE FOR... Acting as the Foundation's primary owner of the fundraising CRM. Partnering as a key advisor and lead business analyst with teams across the Foundation to maintain existing and design new data structures that are sustainable. Maintaining a holistic view of CRM to ensure robust data structures and that work is not duplicated, ensuring CRM and its use is optimized, standardized, and scalable. Leading all data acquisition and data integrity workflows. Establishing a culture of shared ownership for data between Advancement Services and subject matter expert/end user teams, including protocols for data structure evaluation and design, proofing, documentation, and maintenance. Developing a strong data proofing culture and workflows that the whole team owns, developing checks of all data flows out of CRM, whether regular or ad-hoc data requests. Overseeing the building of a long-term sustainable CRM data system by stewarding a culture of effective documentation, cross-training and more. Participating in planning and implementation of upgrades; seeking opportunities for automation; partnering closely with IT. Recommending new approaches, procedures, and processes to effect continual improvements in efficiency of department and services performed. Functioning as a member of the leadership team within Advancement Services; partnering with Prospect Development and Gift Administration as needed. Designing, implementing and maintaining a high-quality, Foundation development-wide CRM training program in partnership with Assistant Director of Database Administration. YOU MUST HAVE... A Bachelor's Degree or equivalent experience. 5+ years' experience managing fundraising, development and/or alumni databases. 3+ years' experience supervising direct reports.Experience with database management and optimizing business process workflows. Experience creating and proofing reports. Experience cross-referencing data sets. Proficient in MS Office including Word, Outlook, PowerPoint. Advanced skills with Excel. Working knowledge of Power Query and PowerBI. IT'S AN ADDED PLUS IF YOU HAVE EXPERIENCE WITH... The Raiser's Edge v.7.93+ and Omatic Software applications (ImportOmatic and QueryOmatic) and a willingness and ability to learn new versions or different fundraising CRM software. Microsoft Power Platform (Power Automate and Power Apps). SQL. Experience in hospital or higher education fundraising data management. YOU'LL BE SUCCESSFUL IF YOU POSSESS THE FOLLOWING... Strategic Thinker - Evaluates the sustainability of proposed data or reporting elements with a holistic understanding of the CRM's reach and impact across the Foundation. Anticipates and addresses stakeholder needs, motivations, concerns, and organizational culture proactively. Inclusive Leader - Creates space for all voices to contribute and grow, providing regular feedback while remaining open to coaching and feedback for oneself. Leads initiatives with empathy and a holistic view, navigating change and ambiguity successfully. Accuracy-Oriented - Maintains a high degree of detail orientation while engaging others for proofing and verification. Balances precision with a focus on the big picture, fostering a culture that values accuracy and learning from mistakes. Assesses errors thoughtfully to determine structural improvements and mitigate future risk. Accountable - Takes shared ownership of data wins and challenges, engaging collaboratively with stakeholders to understand and improve outcomes. Holds the team to high standards of performance, timeliness, and responsibility. Execution-Focused - Negotiates scope, budget, and timeline changes effectively with stakeholders, delivering projects on time, on budget, and within scope. Demonstrates initiative, consistently produces results, and seeks to ensure high satisfaction for partners through strong outcomes and relationships. Working at the Foundation Generous leave, including PTO, holidays, Summer Fridays, and a sabbatical (after 7 years of employment) Annual bonus opportunity Retirement plan + employer match Premium Medical and Dental coverage Employer-paid life insurance Legal services plan 4-week paid maternity and paternity leave for new parents Stipend for home office and mobile phone If remote, frequent opportunities to visit our beautiful HQ in Palo Alto The Foundation is a dynamic organization in a rapidly changing industry. Therefore, the responsibilities associated with this position will evolve and grow in accordance with LPFCH's business needs and growth plans. More specifically, the incumbent may be required to perform additional and/or different responsibilities based on the future growth plans for the Foundation. WE STRIVE TO EMBODY OUR CULTURAL TOUCHSTONES Mission-first - We can never lose sight of why we exist and exercise profound commitment to advancing child and maternal health. Good of the whole - We share responsibility for overall results, think of what's best for the team and organization, and act as responsible stewards of resources. Bold and bendy - We're unapologetically ambitious for our mission, creative, and take risks by trying new things. Sweat the big stuff - We're clear on our priorities, calibrating effort and resources to audience and impact; the higher the return, the greater the investment. Make it happen - We're focused on outcomes and prepared with ideas and solutions for every challenge. Community matters - We prioritize listening to and supporting each other, not just as colleagues, but as people with varied experiences and perspectives. EVERYONE BELONGS HERE Our Foundation values the unique qualities each of us brings to our team and community. We take pride in cultivating a workplace where every voice is heard and each of us has the opportunity to achieve our fullest potential-so that together, we can make meaningful impact on the health outcomes for children and their families. We are guided by the following principles: Uphold integrity and professionalism in all our actions. Foster a welcoming and supportive culture. Embrace unique perspectives and contributions. Interact with compassion, openness, and an eagerness to learn. The Lucile Packard Foundation for Children's Health is an Equal Opportunity Employer. #LI-Hybrid The pay range for this role is: 135,000 - 155,000 USD per year (Palo Alto, CA ) #J-18808-Ljbffr
    $135k-155k yearly 2d ago
  • Director, ES Data Risk Lead - Enterprise Services Risk

    Capital One 4.7company rating

    Chicago, IL jobs

    The Enterprise Services Risk organization is expanding with a focus on attracting innovative, pioneering, collaborative, and highly skilled professionals. We operate at the forefront of risk management, providing support for novel and developing technologies, as well as critical business strategies. Diverse perspectives and experiences are valued as we work to redefine the financial sector. As an eData Risk Director in Capital One's Business Risk Office, you will apply your risk management, strategic and project management expertise to drive success across and within the company's Enterprise Data organization. You will partner across Enterprise Services, ES Risk and the eData organization to develop and support best-in-class industry risk solutions in a manner that supports innovation and protects our customers, shareholders, and associates. Your contributions will drive organizational and strategic change through risk identification, measurement, analysis, and horizontal reporting in order to better manage the company's risk in an open and collaborative environment. In this role, you will: Lead risk reporting and analysis for our risk advisory organization, collaborate cross functionally across all lines of defense, and surface risk insights and drive efficient risk reporting and analysis Partner across both the business and ES Risk to drive well-managed activities (reporting, automation enhancements, process improvements, etc.) and strategic enhancements Build successful relationships with Enterprise Data and other team members to understand the impact of data and technology risk on critical business processes Own and manage Quarterly Examiner Review, serving as strategic liaison with senior leaders, data teams and stakeholders to deliver quarterly program updates and data quality metrics for Federal regulators. Perform risk reviews during various processes such as Risk Control and Self Assessments (RCSAs), Process Level Assessments (PLA), Exceptions, Applications, Targeted Risk Assessments and recommend on risk mitigation activities. Influence leaders across lines of defense on key data and technology risk mitigation strategies Conduct periodic risk reviews with the executives and support reporting for risk metrics Cross-functionally collaborate in monthly Project Increment (PI) planning meetings in align business objectives, identify and manage project dependencies, refine roadmaps, and mitigate risks and delays to meet 100% of Enterprise Data project milestones Support the Enterprise Services (ES) Risk organization by implementing new and innovative ideas Basic Qualifications: High School Diploma, GED or Equivalent Certification At least 7 years of experience in Data Management, Cybersecurity, Technology, Risk Management, or External Audit, or a combination At least 7 years of experience in project, process, or program management At least 7 years of experience supporting, partnering, and interacting with internal or external business clients At least 7 years of experience consulting with senior executives or strategy building At least 4 years of experience working in cross functional teams Preferred Qualifications: Bachelor's Degree or Military Experience At least 10 years of experience in Data Management, Cybersecurity, Technology, Risk Management or External Audit, or a combination At least 10 years of experience in project, process, or program management Cyber and Risk Certifications (CRISC, CISM, CRCM, CAMS, CIPP, ABA Risk Management Certification) 10+ years of experience in project or process management, or agile delivery At least 10 years of experience managing senior stakeholders across different business functions At least 10 years of experience writing communications and presentations for leadership audience At least 10 years of experience in strategy development, preferably working in financial services and/or technology Strong communication and relationship building skills, customer focus, and ability to collaborate and influence across teams to deliver Ability to set direction, delegate tasks, manage multiple stakeholder expectations, and coordinate a cross-functional team Excellent verbal presentation and written communication skills to confidently interact at all levels of the organization (e.g., technology/cyber organizations, enterprise business stakeholders, and executive leadership) Excellent problem-solving, analytical and critical thinking skills to effectively respond to shifting priorities, demands and timelines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,500 - $239,100 for Director, Cyber Risk & AnalysisMcLean, VA: $230,400 - $263,000 for Director, Cyber Risk & AnalysisNew York, NY: $251,400 - $286,900 for Director, Cyber Risk & AnalysisRichmond, VA: $209,500 - $239,100 for Director, Cyber Risk & AnalysisWilmington, DE: $209,500 - $239,100 for Director, Cyber Risk & Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $78k-102k yearly est. 1d ago
  • Director, ES Data Risk Lead - Enterprise Services Risk

    Capital One 4.7company rating

    Petersburg, VA jobs

    The Enterprise Services Risk organization is expanding with a focus on attracting innovative, pioneering, collaborative, and highly skilled professionals. We operate at the forefront of risk management, providing support for novel and developing technologies, as well as critical business strategies. Diverse perspectives and experiences are valued as we work to redefine the financial sector. As an eData Risk Director in Capital One's Business Risk Office, you will apply your risk management, strategic and project management expertise to drive success across and within the company's Enterprise Data organization. You will partner across Enterprise Services, ES Risk and the eData organization to develop and support best-in-class industry risk solutions in a manner that supports innovation and protects our customers, shareholders, and associates. Your contributions will drive organizational and strategic change through risk identification, measurement, analysis, and horizontal reporting in order to better manage the company's risk in an open and collaborative environment. In this role, you will: Lead risk reporting and analysis for our risk advisory organization, collaborate cross functionally across all lines of defense, and surface risk insights and drive efficient risk reporting and analysis Partner across both the business and ES Risk to drive well-managed activities (reporting, automation enhancements, process improvements, etc.) and strategic enhancements Build successful relationships with Enterprise Data and other team members to understand the impact of data and technology risk on critical business processes Own and manage Quarterly Examiner Review, serving as strategic liaison with senior leaders, data teams and stakeholders to deliver quarterly program updates and data quality metrics for Federal regulators. Perform risk reviews during various processes such as Risk Control and Self Assessments (RCSAs), Process Level Assessments (PLA), Exceptions, Applications, Targeted Risk Assessments and recommend on risk mitigation activities. Influence leaders across lines of defense on key data and technology risk mitigation strategies Conduct periodic risk reviews with the executives and support reporting for risk metrics Cross-functionally collaborate in monthly Project Increment (PI) planning meetings in align business objectives, identify and manage project dependencies, refine roadmaps, and mitigate risks and delays to meet 100% of Enterprise Data project milestones Support the Enterprise Services (ES) Risk organization by implementing new and innovative ideas Basic Qualifications: High School Diploma, GED or Equivalent Certification At least 7 years of experience in Data Management, Cybersecurity, Technology, Risk Management, or External Audit, or a combination At least 7 years of experience in project, process, or program management At least 7 years of experience supporting, partnering, and interacting with internal or external business clients At least 7 years of experience consulting with senior executives or strategy building At least 4 years of experience working in cross functional teams Preferred Qualifications: Bachelor's Degree or Military Experience At least 10 years of experience in Data Management, Cybersecurity, Technology, Risk Management or External Audit, or a combination At least 10 years of experience in project, process, or program management Cyber and Risk Certifications (CRISC, CISM, CRCM, CAMS, CIPP, ABA Risk Management Certification) 10+ years of experience in project or process management, or agile delivery At least 10 years of experience managing senior stakeholders across different business functions At least 10 years of experience writing communications and presentations for leadership audience At least 10 years of experience in strategy development, preferably working in financial services and/or technology Strong communication and relationship building skills, customer focus, and ability to collaborate and influence across teams to deliver Ability to set direction, delegate tasks, manage multiple stakeholder expectations, and coordinate a cross-functional team Excellent verbal presentation and written communication skills to confidently interact at all levels of the organization (e.g., technology/cyber organizations, enterprise business stakeholders, and executive leadership) Excellent problem-solving, analytical and critical thinking skills to effectively respond to shifting priorities, demands and timelines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,500 - $239,100 for Director, Cyber Risk & AnalysisMcLean, VA: $230,400 - $263,000 for Director, Cyber Risk & AnalysisNew York, NY: $251,400 - $286,900 for Director, Cyber Risk & AnalysisRichmond, VA: $209,500 - $239,100 for Director, Cyber Risk & AnalysisWilmington, DE: $209,500 - $239,100 for Director, Cyber Risk & Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $74k-98k yearly est. 1d ago
  • Director, ES Data Risk Lead - Enterprise Services Risk

    Capital One 4.7company rating

    Williamsburg, VA jobs

    The Enterprise Services Risk organization is expanding with a focus on attracting innovative, pioneering, collaborative, and highly skilled professionals. We operate at the forefront of risk management, providing support for novel and developing technologies, as well as critical business strategies. Diverse perspectives and experiences are valued as we work to redefine the financial sector. As an eData Risk Director in Capital One's Business Risk Office, you will apply your risk management, strategic and project management expertise to drive success across and within the company's Enterprise Data organization. You will partner across Enterprise Services, ES Risk and the eData organization to develop and support best-in-class industry risk solutions in a manner that supports innovation and protects our customers, shareholders, and associates. Your contributions will drive organizational and strategic change through risk identification, measurement, analysis, and horizontal reporting in order to better manage the company's risk in an open and collaborative environment. In this role, you will: Lead risk reporting and analysis for our risk advisory organization, collaborate cross functionally across all lines of defense, and surface risk insights and drive efficient risk reporting and analysis Partner across both the business and ES Risk to drive well-managed activities (reporting, automation enhancements, process improvements, etc.) and strategic enhancements Build successful relationships with Enterprise Data and other team members to understand the impact of data and technology risk on critical business processes Own and manage Quarterly Examiner Review, serving as strategic liaison with senior leaders, data teams and stakeholders to deliver quarterly program updates and data quality metrics for Federal regulators. Perform risk reviews during various processes such as Risk Control and Self Assessments (RCSAs), Process Level Assessments (PLA), Exceptions, Applications, Targeted Risk Assessments and recommend on risk mitigation activities. Influence leaders across lines of defense on key data and technology risk mitigation strategies Conduct periodic risk reviews with the executives and support reporting for risk metrics Cross-functionally collaborate in monthly Project Increment (PI) planning meetings in align business objectives, identify and manage project dependencies, refine roadmaps, and mitigate risks and delays to meet 100% of Enterprise Data project milestones Support the Enterprise Services (ES) Risk organization by implementing new and innovative ideas Basic Qualifications: High School Diploma, GED or Equivalent Certification At least 7 years of experience in Data Management, Cybersecurity, Technology, Risk Management, or External Audit, or a combination At least 7 years of experience in project, process, or program management At least 7 years of experience supporting, partnering, and interacting with internal or external business clients At least 7 years of experience consulting with senior executives or strategy building At least 4 years of experience working in cross functional teams Preferred Qualifications: Bachelor's Degree or Military Experience At least 10 years of experience in Data Management, Cybersecurity, Technology, Risk Management or External Audit, or a combination At least 10 years of experience in project, process, or program management Cyber and Risk Certifications (CRISC, CISM, CRCM, CAMS, CIPP, ABA Risk Management Certification) 10+ years of experience in project or process management, or agile delivery At least 10 years of experience managing senior stakeholders across different business functions At least 10 years of experience writing communications and presentations for leadership audience At least 10 years of experience in strategy development, preferably working in financial services and/or technology Strong communication and relationship building skills, customer focus, and ability to collaborate and influence across teams to deliver Ability to set direction, delegate tasks, manage multiple stakeholder expectations, and coordinate a cross-functional team Excellent verbal presentation and written communication skills to confidently interact at all levels of the organization (e.g., technology/cyber organizations, enterprise business stakeholders, and executive leadership) Excellent problem-solving, analytical and critical thinking skills to effectively respond to shifting priorities, demands and timelines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,500 - $239,100 for Director, Cyber Risk & AnalysisMcLean, VA: $230,400 - $263,000 for Director, Cyber Risk & AnalysisNew York, NY: $251,400 - $286,900 for Director, Cyber Risk & AnalysisRichmond, VA: $209,500 - $239,100 for Director, Cyber Risk & AnalysisWilmington, DE: $209,500 - $239,100 for Director, Cyber Risk & Analysis Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $75k-98k yearly est. 1d ago

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