Data Modeler jobs at Citi

Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges! As a Data Science Associate on the Online Investing Data Science Team for US Wealth Management (“USWM”), your ability to blend cross-functional knowledge in Online Investing, financial products, markets, statistics and advanced analytics will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job Responsibilities: Analyze client, macro-behavioral trends as it relates to Online Investing, financial products and solutions that are offered on JPMorgan's USWM platform Provide analytical support for Online Investing strategy and platform engagement Analyze client behavioral data to inform strategic decision making, including forming, investigating and researching hypotheses, as well as deep-dives into client deepening and retention efforts. Use a variety of data tools and technologies, including industry-standard and open-source platforms, to assemble, organize and analyze data, including Python, R and SQL. Apply statistical, causal inference and machine learning modeling methods and techniques, including clustering algorithms, tree-based models, matching methods and time-series anomaly detection. Present findings to key stakeholders, including senior leaders, across Online Investing, Finance, Legal and Data and Analytics. Required qualifications, capabilities, and skills: 1+ years of experience working in an analytical, data science, finance or management/economic consulting role BS Degree in a related field, such as Mathematics, Statistics, Engineering, Computer Science, Finance, Economics or other applicable STEM discipline Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Strong storytelling capabilities Aptitude for learning new theory and new technology Preferred qualifications, capabilities, and skills: Masters Degree or PhD Knowledge or demonstrable interest in financial securities and markets Practical understanding of advanced statistics, econometrics and / or machine learning Practical understanding of financial modeling and economics

Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges! As a Data Science Associate on the Online Investing Data Science Team for US Wealth Management ("USWM"), your ability to blend cross-functional knowledge in Online Investing, financial products, markets, statistics and advanced analytics will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. **Job Responsibilities:** + Analyze client, macro-behavioral trends as it relates to Online Investing, financial products and solutions that are offered on JPMorgan's USWM platform + Provide analytical support for Online Investing strategy and platform engagement + Analyze client behavioral data to inform strategic decision making, including forming, investigating and researching hypotheses, as well as deep-dives into client deepening and retention efforts. + Use a variety of data tools and technologies, including industry-standard and open-source platforms, to assemble, organize and analyze data, including Python, R and SQL. + Apply statistical, causal inference and machine learning modeling methods and techniques, including clustering algorithms, tree-based models, matching methods and time-series anomaly detection. + Present findings to key stakeholders, including senior leaders, across Online Investing, Finance, Legal and Data and Analytics. **Required qualifications, capabilities, and skills:** + 1+ years of experience working in an analytical, data science, finance or management/economic consulting role + BS Degree in a related field, such as Mathematics, Statistics, Engineering, Computer Science, Finance, Economics or other applicable STEM discipline + Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business + Strong storytelling capabilities + Aptitude for learning new theory and new technology **Preferred qualifications, capabilities, and skills:** + Masters Degree or PhD + Knowledge or demonstrable interest in financial securities and markets + Practical understanding of advanced statistics, econometrics and / or machine learning + Practical understanding of financial modeling and economics Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges! As a Data Science Associate on the Online Investing Data Science Team for US Wealth Management ("USWM"), your ability to blend cross-functional knowledge in Online Investing, financial products, markets, statistics and advanced analytics will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job Responsibilities: Analyze client, macro-behavioral trends as it relates to Online Investing, financial products and solutions that are offered on JPMorgan's USWM platform Provide analytical support for Online Investing strategy and platform engagement Analyze client behavioral data to inform strategic decision making, including forming, investigating and researching hypotheses, as well as deep-dives into client deepening and retention efforts. Use a variety of data tools and technologies, including industry-standard and open-source platforms, to assemble, organize and analyze data, including Python, R and SQL. Apply statistical, causal inference and machine learning modeling methods and techniques, including clustering algorithms, tree-based models, matching methods and time-series anomaly detection. Present findings to key stakeholders, including senior leaders, across Online Investing, Finance, Legal and Data and Analytics. Required qualifications, capabilities, and skills: 1+ years of experience working in an analytical, data science, finance or management/economic consulting role BS Degree in a related field, such as Mathematics, Statistics, Engineering, Computer Science, Finance, Economics or other applicable STEM discipline Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Strong storytelling capabilities Aptitude for learning new theory and new technology Preferred qualifications, capabilities, and skills: Masters Degree or PhD Knowledge or demonstrable interest in financial securities and markets Practical understanding of advanced statistics, econometrics and / or machine learning Practical understanding of financial modeling and economics Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities * Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs * Bridge scientific research and software engineering, applying expertise in both domains * Collaborate with engineering teams to lead the design and delivery of GenAI products * Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications * Integrate GenAI solutions with enterprise platforms using API-based methods * Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Align ML problem definition with business objectives * Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills * Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Ten years of experience in an individual contributor role in ML engineering * Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms * Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models * Experience integrating GenAI solutions with enterprise platforms via standardized API patterns * Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Excellent grasp of computer science fundamentals and SDLC best practices * Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills * PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray * Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints * Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed * Relocation assistance is not available for this role.

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. **Job Responsibilities** + Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. + Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. + Translate complex data into clear, actionable insights that inform strategic decisions. + Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. + Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. + Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. + Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. + Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. **Required qualifications, capabilities, and skills** + Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. + Strong background in Python and SQL. + Proficient in Microsoft Office suite of products. + Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. + Ability to synthesize diverse information and develop actionable recommendation. + Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. + Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. **Preferred qualifications, capabilities, and skills** + MS degree preferred **To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).** Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking “why” and “what if,” and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. Translate complex data into clear, actionable insights that inform strategic decisions. Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. Strong background in Python and SQL. Proficient in Microsoft Office suite of products. Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. Ability to synthesize diverse information and develop actionable recommendation. Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills MS degree preferred To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

JobID: 210680498 JobSchedule: Full time JobShift: Day : Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities * Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. * Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. * Translate complex data into clear, actionable insights that inform strategic decisions. * Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. * Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. * Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. * Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. * Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills * Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. * Strong background in Python and SQL. * Proficient in Microsoft Office suite of products. * Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. * Ability to synthesize diverse information and develop actionable recommendation. * Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. * Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills * MS degree preferred To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

JobID: 210688363 JobSchedule: Full time JobShift: Day : Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems? As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product. Job Responsibilities: * Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications. * Build and maintain APIs to enable seamless integration of AIML models with business applications. * Use your programming skills in Python and design integrated solutions using the latest technology. * Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions. * Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management. * Build and iterate on prototype solutions. * Develop robust, production-ready code for AIML models and analytical applications. * Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions. * Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions. Required qualifications, capabilities and skills: * Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). * 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG). * Strong Proficiency in Python. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * Proficiency with data table operations (SQL, etc.). * Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx. * Demonstrated knowledge of data architecture that is ideal for generative AI solutions. * Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Architect within PNC's Data Products Organization, you will be based in Dallas, TX, .Pittsburgh, PA, Strongsville, OH or Birmingham, AL. Responsibilities require time in the office on a weekly basis. Some responsibilities may be performed remotely, at the manager's discretion. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Needed skills: Skills * Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, etc.) * Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL * Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.) * Experience with public cloud platforms - Apache Ice-burg and AWS - S3 * Knowledge of Unix/Linux shell scripting Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. * Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology. * Demonstrate initiative to develop approaches to solutions as part of a team; Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment. * Design, build and test data integration processes between business-critical applications to solve complex problems within financial services. * Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Designs, develops and optimizes data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. * Analyzes business intelligence data and makes recommendations for data warehouse growth and integration an application/business function. * Works with IT and business customers to capture requirements for designing the data warehouse architecture. * Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework. * Leads and consults on the implementation and integration of data warehouses; ensures the solution meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning (ML), Risk Assessments, Technical Knowledge Competencies Consulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $102,000.00 - $158,700.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 08/19/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Architect within PNC's Data Products Organization, you will be based in Dallas, TX, .Pittsburgh, PA, Strongsville, OH or Birmingham, AL. Responsibilities require time in the office on a weekly basis. Some responsibilities may be performed remotely, at the manager's discretion. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Needed skills: Skills * Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, etc.) * Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL * Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.) * Experience with public cloud platforms - Apache Ice-burg and AWS - S3 * Knowledge of Unix/Linux shell scripting Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. * Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology. * Demonstrate initiative to develop approaches to solutions as part of a team; Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment. * Design, build and test data integration processes between business-critical applications to solve complex problems within financial services. * Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Designs, develops and optimizes data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. * Analyzes business intelligence data and makes recommendations for data warehouse growth and integration an application/business function. * Works with IT and business customers to capture requirements for designing the data warehouse architecture. * Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework. * Leads and consults on the implementation and integration of data warehouses; ensures the solution meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning (ML), Risk Assessments, Technical Knowledge Competencies Consulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $102,000.00 - $158,700.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 08/19/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Quality Assurance Architect within PNC's Technology organization, you will be based in you will be based in Pittsburgh, PA, Dallas, TX, Birmingham, AL, Cleveland, OH, Denver, CO, Atlanta, GA, Charlotte, NC or Chicago, IL. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion. This role will be responsible for defining and implementing enterprise Test Data Management (TDM) Strategy, architecture, and governance models. They will work closely with stakeholder and business partners to ensure that TDM solutions are scalable, secure, automated, and aligned with enterprise architecture principles. They will also lead the design of TDM frameworks, patterns, and tools to support test data at-scale. Key Skills and responsibilities: - Partner with leadership to define the enterprise TDM architecture, strategy, and roadmap - Establish data provisioning, masking, subsetting, and synthetic data frameworks - Design Test Data Service API framework - Participate in RFPs for TDM tooling and platforms - Champion best practices - Collaborate with various stakeholders across the Enterprise to build TDM Strategy - Define and deliver KPI and KRIs for TDM capabilities Skills: - Data architecture - Proven experience implementing Test Data Management methodologies and solutions - Experience with TDM Tooling (Informatica TDM, Delphix, IBM Optim, Broadcom TDM, GenRocket, TDspora) - Strong knowledge of data modeling, masking, subsetting, and synthetic data generation techniques - Understanding of DevOps, CI/CD pipelines - Knowledge of Automated testing frameworks - Understanding of regulatory and compliance frameworks (GDPR, HIPAA, FFIEC, SOX) - Strong analytical, problem solving, and communication skills - Excellent communication and stakeholder management skills - Ability to develop clear and concise technical and non-technical documentation - Ability to communicate across multiple level of the organization PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description Responsible for development and support of processes, practices and tools necessary to produce quality products/services and to manage risk. Researches and recommends hardware and software purchases for software quality assurance program. Selects and implements formal QA methodologies. Architects and implements agile testing practices and tools. Evaluates, recommends and implements enterprise-wide defect-tracking software. Assists in planning and estimation of Quality Assurance support for new programs and projects. Conducts audits and reviews. Supports Quality Assurance specialists on programs or projects. Conducts program reviews and complex process audits. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsCompetitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning, Risk Assessments, Technical KnowledgeCompetenciesAccuracy and Attention to Detail, Analytical Thinking, Emerging Technologies, Influencing, IT Architecture, Process Management, Software Development Life Cycle, Software Product Design/Architecture, Software Quality Assurance And TestingWork ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s) LicensesNo Required License(s) Pay TransparencyBase Salary: $65,000.00 - $152,375.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 08/26/2025, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Architect within PNC's Data Products Organization, you will be based in Dallas, TX, .Pittsburgh, PA, Strongsville, OH or Birmingham, AL. Responsibilities require time in the office on a weekly basis. Some responsibilities may be performed remotely, at the manager's discretion. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Needed skills: Skills * Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, etc.) * Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL * Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.) * Experience with public cloud platforms - Apache Ice-burg and AWS - S3 * Knowledge of Unix/Linux shell scripting Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. * Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology. * Demonstrate initiative to develop approaches to solutions as part of a team; Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment. * Design, build and test data integration processes between business-critical applications to solve complex problems within financial services. * Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Designs, develops and optimizes data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. * Analyzes business intelligence data and makes recommendations for data warehouse growth and integration an application/business function. * Works with IT and business customers to capture requirements for designing the data warehouse architecture. * Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework. * Leads and consults on the implementation and integration of data warehouses; ensures the solution meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning (ML), Risk Assessments, Technical Knowledge Competencies Consulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $102,000.00 - $158,700.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 08/19/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Architect within PNC's Data Products Organization, you will be based in Dallas, TX, .Pittsburgh, PA, Strongsville, OH or Birmingham, AL. Responsibilities require time in the office on a weekly basis. Some responsibilities may be performed remotely, at the manager's discretion. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Needed skills: Skills * Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, etc.) * Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL * Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.) * Experience with public cloud platforms - Apache Ice-burg and AWS - S3 * Knowledge of Unix/Linux shell scripting Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. * Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology. * Demonstrate initiative to develop approaches to solutions as part of a team; Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment. * Design, build and test data integration processes between business-critical applications to solve complex problems within financial services. * Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Designs, develops and optimizes data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. * Analyzes business intelligence data and makes recommendations for data warehouse growth and integration an application/business function. * Works with IT and business customers to capture requirements for designing the data warehouse architecture. * Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework. * Leads and consults on the implementation and integration of data warehouses; ensures the solution meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning (ML), Risk Assessments, Technical Knowledge Competencies Consulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $102,000.00 - $158,700.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 08/19/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Architect/Infrastructure Engineer within PNC's Data and Automation organization, you will be based in Pittsburgh-PA or Strongsville-OH. We are looking for an experienced infrastructure engineer with strong expertise in managing and scaling graph databases platforms, particularly Neo4j. Design, deploy, and maintain Neo4j infrastructure in an on-prem environment. Ensuring availability, security and performance for production workloads. • Architect and manage highly available and scalable Neo4j clusters (Enterprise Edition) • Automate deployment and management of cluster • Configure and monitor backup, recovery, and disaster recovery processes for Neo4j • Work closely with developers and platform resources to optimize Neo4j performance • Monitor and troubleshoot system performance using logging tools • Implement role-based access control, experience with LDAP authentication PNC will not provide sponsorship for employment visa for this position. PNC will not participate in OPT or STEM OPT for this position.Job Description Designs, develops and optimizes data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. Analyzes business intelligence data and makes recommendations for data warehouse growth and integration an application/business function. Works with IT and business customers to capture requirements for designing the data warehouse architecture. Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework. Leads and consults on the implementation and integration of data warehouses; ensures the solution meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsCompetitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning, Risk Assessments, Technical KnowledgeCompetenciesConsulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements AnalysisWork ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s) LicensesNo Required License(s) Pay TransparencyBase Salary: $65,000.00 - $179,400.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 06/10/2025, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Employee Platform team, you play a vital role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. **Job responsibilities** + Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems. + Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others. + Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems. + Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs and technical credentials. + Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications. + Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput. + Implement data quality checks and validation processes to ensure accuracy and reliability of data. + Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics. + Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform. + Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights. + Contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect. **Required qualifications, capabilities, and skills** + Formal training or certification on **software engineering** concepts and 5+ years applied experience + 7+ years in data engineering, including design, application development, testing, and operational stability. + Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift. + Proficiency in programming languages like Python, Java, or Scala for data processing and application development. + Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control. + Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security. + Demonstrated proficiency in software applications and technical processes within technical disciplines like cloud, artificial intelligence, machine learning, and mobile. + In-depth knowledge of the financial services industry and their IT systems. + Proficiency in database management and data modeling, working with relational databases like Oracle or SQL Server. Skilled in writing SQL queries for efficient data management and retrieval, utilizing SQL tools such as DML for data handling, DDL for schema management, and PL/SQL for procedural extensions in Oracle databases. + Experience with scheduling tools like Autosys to automate and manage job scheduling for efficient workflow exec JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities** + Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. + Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. + Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. + Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. + Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. + Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. + Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. + Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. **Required Qualifications, capabilities and skills** + Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. + Proficiency in SQL, Python, and PySpark. + Hands-on experience with data lake platforms (Databricks, Spark, or similar). + Strong understanding of data quality, security, and lineage best practices. + Experience with cloud-based data warehouse migration and modernization. + Excellent problem-solving and troubleshooting skills. + Strong communication and documentation abilities. + Ability to collaborate effectively with business and technical stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. Required Qualifications, capabilities and skills Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark. Hands-on experience with data lake platforms (Databricks, Spark, or similar). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based data warehouse migration and modernization. Excellent problem-solving and troubleshooting skills. Strong communication and documentation abilities. Ability to collaborate effectively with business and technical stakeholders.

JobID: 210688620 JobSchedule: Full time JobShift: : Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities * Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. * Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. * Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. * Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. * Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. * Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. * Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. * Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. Required Qualifications, capabilities and skills * Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. * Proficiency in SQL, Python, and PySpark. * Hands-on experience with data lake platforms (Databricks, Spark, or similar). * Strong understanding of data quality, security, and lineage best practices. * Experience with cloud-based data warehouse migration and modernization. * Excellent problem-solving and troubleshooting skills. * Strong communication and documentation abilities. * Ability to collaborate effectively with business and technical stakeholders.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Employee Platform team, you play a vital role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. Job responsibilities Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems. Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others. Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems. Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs and technical credentials. Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications. Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput. Implement data quality checks and validation processes to ensure accuracy and reliability of data. Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics. Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform. Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights. Contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience 7+ years in data engineering, including design, application development, testing, and operational stability. Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift. Proficiency in programming languages like Python, Java, or Scala for data processing and application development. Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control. Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security. Demonstrated proficiency in software applications and technical processes within technical disciplines like cloud, artificial intelligence, machine learning, and mobile. In-depth knowledge of the financial services industry and their IT systems. Proficiency in database management and data modeling, working with relational databases like Oracle or SQL Server. Skilled in writing SQL queries for efficient data management and retrieval, utilizing SQL tools such as DML for data handling, DDL for schema management, and PL/SQL for procedural extensions in Oracle databases. Experience with scheduling tools like Autosys to automate and manage job scheduling for efficient workflow exec