Data scientist jobs in High Point, NC - 20 jobs

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk. Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead small projects with manageable risks and resource requirements; play significant roles in larger, more complex initiatives. Act as a resource for teammates with less experience. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk. 2. Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 3. Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences. 4. Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners. 5. Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices, focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation. 6. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage; data governance and analytics capabilities; help with the overall risk management for the team. 7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2. Minimum of six years of related experience 3. Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility 4. In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc. 5. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques 6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight deadlines in a collaborative environment Preferred Qualifications: 1. Working experience of delivering data integration solutions using ETL tools (like Informatica, Ab initio etc.) and Programming languages (SAS, Python etc.) 2. Working knowledge of Snowflake and deal with heterogeneous data bases like Oracle, Hive, Netezza, DB2 and SQL Server. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 3. Ten years of relevant work experience if candidate lacks graduate degree 4. Previous experience in the banking or fin-tech industry 5. Experience working with data science workspace within Adobe Enterprise Platform 6. Experience working with Graph Databases, graph query language, and related algorithms General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Alternate Locations: Greensboro, NC (North Carolina); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Hartford, CT (Connecticut); Omaha, NE (Nebraska); Radnor, PA (Pennsylvania) Work Arrangement: Hybrid : Employee will work 3 days a week in a Lincoln office Relocation assistance: is not available for this opportunity. Requisition #: 75273 The Role at a Glance As an Actuary on the Life Financial Strategy team, you will lead strategic initiatives that support the enterprise's foundational capital goals. This role involves deep collaboration across Valuation, M&A, Investments, Reinsurance, and other key areas to assess and optimize the Life in-force block. You will provide insights and recommendations to senior leadership, helping shape the financial trajectory of the Life business. What you'll be doing Strategic Analysis & Execution * Assess the value and capitalization of the Life in-force block. * Evaluate reinsurance opportunities and enhance analytical tools. Cross-functional Collaboration * Partner with Modeling, Valuation, FP&A, and other teams to ensure model accuracy. * Build strong relationships across departments to drive initiatives forward. Communication & Leadership * Present findings to senior management and key stakeholders. * Serve as a subject matter expert during project implementation. * Identify new strategic opportunities aligned with enterprise goals. What we're looking for Must have: * 4 Year/Bachelor's degree (or equivalent) (Minimum Required) * 7+ years of actuarial experience with actuarial credentials (FSA or ASA with additional years of experience) * Experience in reviewing and assessing the appropriateness of complex models * Strong analytical and problem-solving skills * Substantial life product (UL/VUL/IUL/Term) knowledge and general insurance business knowledge * Strong understanding of regulatory and accounting frameworks (Stat/GAAP/Tax/RBC) * Proven ability to communicate complex actuarial concepts to non-technical audiences, including senior leadership. Nice to have: * Experience working with business intelligence tools (e.g. Tableau) * Experience in actuarial modeling and/or valuation experience in MG-ALFA * Experience in financial reinsurance transactions * Experience in M&A * Experience with VBA, Python, or other programming languages preferred Application Deadline Applications for this position will be accepted through January 31st, 2026 subject to earlier closure due to applicant volume. What's it like to work here? At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future. What's in it for you: * Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes * Leadership development and virtual training opportunities * PTO/parental leave * Competitive 401K and employee benefits * Free financial counseling, health coaching and employee assistance program * Tuition assistance program * Work arrangements that work for you * Effective productivity/technology tools and training The pay range for this position is $108,501 - $195,900 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln's total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln's standard benefits package. About The Company Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services. With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach. Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice. Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom. Be Aware of Fraudulent Recruiting Activities If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters. Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at ******************** if you encounter a recruiter or see a job opportunity that seems suspicious. Additional Information This position may be subject to Lincoln's Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln's current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities. Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees. Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling ************. This Employer Participates in E-Verify. See the E-Verify notices. Este Empleador Participa en E-Verify. Ver el E-Verify avisos. Nearest Major Market: Greensboro Job Segment: Accounting, Actuarial, Financial, Business Intelligence, Finance, Insurance, Strategy, Technology

Internship - Data Science Reports to: Manager- Data Science The Data Science Intern is responsible for developing and deploying data analytics and AI applications, and developing machine learning models, deploying into Kubernetes clusters. This role involves working with large datasets, implementing monitoring systems, and post deployment analysis processes. The intern will be part of a dynamic team, driving our data-driven culture forward with innovative solutions. Key Responsibilities Process and analyze complex data from diverse sources to extract business insights. Build and deploy machine learning models. Design, develop, and deploy containerized applications to our Kubernetes cluster. Ensure scalability, reliability, and performance of deployed applications. Work with Large Language Models (LLMs) to develop and integrate AI-powered features into our products. Troubleshoot and resolve issues related to AI applications and Machine Learning Models and the Relevant Tools/Platforms. Build UI applications using Streamlit or a similar framework to create product prototypes and gather user feedback. Stay up to date with industry trends, best practices, and emerging technologies in AI, data science, and cloud computing. Requirements Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience. Strong programming skills in Python, with experience in data analysis, data science, or a related field. Experience with data analysis and machine learning model development. Experience with SQL and database management systems. Knowledge of Large Language Models (LLMs) and their applications in AI product development. Familiarity with containerization using Docker and Kubernetes. Excellent problem-solving skills, with the ability to work independently and collaboratively. Strong communication and documentation skills, with the ability to explain complex technical concepts to non-technical stakeholders. Over the years, we've discovered that the most effective and successful associates at apexanalytix are people who have a specific combination of values, skills, and behaviors that we call “The apex Way”. Read more about The apex Way - *************************************

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Primary Purpose The Data Engineer IV will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They will drive our data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They engage through the entire lifecycle of a project from data mapping, data pipelines, data modeling, and finally data consumption. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. They will proactively optimize or even assist with the design of our company's data architecture to support our next generation of products and data initiatives. They will work on various, ambiguous, and complex issues, where analysis of situations or data requires an in- depth evaluation of variable factors, thorough understanding of the business strategy, operations, markets and key stakeholders. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC , Chicago, IL, Quincy, MA. Applicants must be currently authorized to work in the United States on a full-time basis. Duties and Responsibilities * Creates and approves source to target data mappings for data pipelines and integration activities * Identifies and resolves the impact of proposed application development/enhancements projects * Performs data profiling and process analysis to understand key source systems and uses knowledge of application features and functions to assess scope and impact of business needs * Works with business users to design, develop, test, and implement business intelligence solutions in the Data & Analytics Platform * Assists in assessing alternative software solutions for workability and technical feasibility. * Work closely with business teams in every stage from gathering requirements to closure of project * Work with the key stakeholders to create requirements for each business solution, ensure the requirements are developed in concert with and agreed upon by the business partner, and that the solution delivers the agreed upon business needs * Implement and maintain data governance policies and procedures to ensure data quality, security and compliance * Initiates and leads workstreams for improving way of working in teams, eliminating technical debt and optimizing business processes * Acts as a subject matter expert on technology solution * Responsible for coaching/mentoring/leading junior engineers * Consistently delivers very high-quality work in cross-functional environments - seen as an expert and technical leader among peers * Has a balanced approach to team empowerment and leadership driving successful brainstorming sessions and solid technical conclusions to work approaches while modeling self-accountability, continuous development and team contributions * Remain up to date on emerging technologies and best practices in data engineering. Recommend new approaches to improving data infrastructure * Ensure operational stability of a 24/7/365 grocery retail environment by providing technical support, system monitoring, and issue resolution which may be required during off-hours, weekends, and holidays as needed Qualifications * Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience) * 8 or more years of equivalent experience in relevant job or field of technology * Experience in an advanced role or technical capacity, leading teams directly or indirectly * Experience directly responsible for guiding, training or onboarding team members in relevant technologies, capabilities or skills * Experience with some or all of the following: Databricks, Azure Data Factory, Azure DevOps, TSQL, Python, PySpark, PowerBI, Data Warehouse Concepts Preferred Qualifications * Masters Degree in relevant field of study, Additional trainings or certifications in relevant field of study * 3 or more years experience in Agile teams and Product/Platform based operating model * 3 or more years of experience in leading teams or advancing technical capability in teams * Experience in retail or grocery preferred #DICEJobs #LI-hybrid #LI-SS1 Salary Range: $146,960 - $220,440 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

The Fresh Market & You: Our mission is to make everyday eating extraordinary for our guests. We create a warm, welcoming, memorable experience with exceptional, personal service . We're looking for a new team member who strives for excellence and brings positive energy, commitment, and a “can-do” attitude to work every day . We value teamwork and celebrate our successes as a team and will value your contribution! Added Benefits for choosing The Fresh Market Team: Team member discount up to 40% Health, Dental & Vision insurance available for individual, spouse, partner, and family. And much more! 401K contribution and match for part-time and full-time team members. Personal time off and additional time off purchase plans available About the Position: The Fresh Market currently has an opening for a Data Engineer in our Store Support Center (099). The Data Engineer will be designing, developing, and supporting robust data warehouse systems. Expertise in planning, managing databases, and ensuring efficient data storage, access, and security. Proficient in technical administration for data warehouse development and maintenance, with a focus on coordinating data quality, performance, security, and overall management for organizational needs. What You'll Do: Collaborates with users to design, code, test, debug, and deploy databases that meet requirements and organizational needs. Acts as liaison between information technology and business units. Evaluate new data sources for adherence to the organization's quality standards and ease of integration. Manipulates and combines data from various sources to enlarge and enhance the data warehouse. Performs data extraction, ensures data accuracy, troubleshoots, and resolves bugs during data warehouse operations. Writes queries, stored procedures and functions for database development. Develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Plans and executes data warehouse implementations following system requirements and anticipated usage. Provides technical support and coordination during warehouse design, testing and movement to production. Designs and builds databases for data storage or processing. Evaluates existing database design to determine necessary updates, performance tuning, and integration requirements. Monitors databases' performance, scalability, and security and modifies procedures to optimize database designs. Builds data models and defines the structure, attributes and nomenclature of data elements. Understands and utilizes ETL tools like Informatica and programming languages like Python. Designs and writes code for ETL data solutions. Implements and enforces standards and procedures to ensure data is managed consistently and properly integrated within the warehouse. Ensures sufficient data quality is maintained so that the data can effectively support the business process. Defines data elements and establishes policies and procedures related to the collection and accuracy of data, and performs tests on data systems. Possesses comprehensive knowledge of database technologies and solid coding and computer system skills. Works on projects indpendently with general supervision. Work will be have moderate technicalical complexity. Can communicate facts, policies, and practices related to job area. Qualifications: At a minimum, what you'll need: Bachlors Degree in one of the following disciplines or similar: Computer Science, Database Systems, Information Systems, or equivelent engineering degree. Requires 2 - 5 years of professionsal experience or deemed to possses that level of skill. Collaborate with other technical teams to assist in achievement of team agile sprint goals. Proficiency with the following technologies: SQL Language. Snowflake. (ETL/ELT) Systems. Cloud Data Warehouse Systems. Excellent analytical, conceptual thinking, problem solving, planning, and execution skills. Ability to identify and evaluation new data management technologies and the business benefits. Demonstrated ability to use agile methodology to estimate and plan project outcomes. Ability to drive organizational change and build data capabilities that effectively balance the need to continuously exploit capabilities to optimize operational efficiency with the need to deliver innovative and agile infrastructure. Ability to communicate ideas in both technical in a user-friendly language. Enthusiastic and willing to work in a team-oriented, collaborative Agile SCRUM environment. Strong customer-service orientation and a professional demeanor. Excellent written and oral communication skills. Excellent listening and interpersonal skills. Excellent documentation skills. Highly self-motivated and directed. After hours and Weekend on call support in a rotating manner. Preferred qualifications: Certification in Snowflake, SQL Server, T-SQL. We are proud to be an Equal Opportunity Employer: REASONABLE ACCOMMODATIONS: Consistent with applicable laws, TFM will make reasonable accommodations for qualified applicants and team members, unless doing so would result in an undue hardship to TFM. This guiding principle applies to all aspects of employment, including hiring and job assignment, compensation, discipline, termination, and access to benefits and training. Qualified applicants will receive consideration for employment without regard race, color, creed, religion, age, sex, gender, sexual orientation, gender identity, pregnancy and related medical conditions, national origin, genetic information, uniformed service, veteran status, disability, or any other basis prohibited by federal or state law. The statements in this job description are provided to describe the general nature and level of work expected in this role. While these statements include the essential functions of the job, they are not intended to be a complete list of all responsibilities, duties and skills required. As we work as a team, there may be times team members are needed to perform duties outside of their normal responsibilities based on business needs. #CL-1 #LI-REMOTE

Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Data Engineer IV for our client in the Retail domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately. Duration: 6+ Months Contract Location: Remote Salary: $80.00-$85.00/Hourly Role: Data Engineer IV Primary Skills: ETL Role Description: The Data Engineer IV must have 10+ years of experience. For this role, you must be a highly skilled and hands-on Ataccama Implementation Engineer to join the team. The ideal candidate will have broad experience across configurations, connections, and user experience, with a specific focus on supporting Lineage, Data Quality, and Data Catalog. This role requires expertise in implementing and optimizing Ataccama's capabilities to ensure seamless integration and alignment with business needs. Must Haves: * 3 plus years of Ataccama experience * Strong understanding of data catalog, data lineage and data quality. * Ability to implement business requirements Certifications/Degree: * Required Degree in IT field. Key Responsibilities: * Configure and optimize Ataccama ONE modules to meet organizational requirements. * Establish and maintain data connections for effective data processing and integration. * Enhance user experience through customized Ataccama configurations and solutions. * Support and maintain data lineage, data quality, and data catalog functionalities. * Collaborate with cross-functional teams to ensure data governance best practices. * Provide technical leadership and guidance for Ataccama-related implementations. Required Skills and Qualifications: * Proven experience in implementing and configuring Ataccama solutions. * Deep understanding of data governance principles, data quality, and metadata management. * Hands-on experience with data lineage tracking and data catalog management. * Strong problem-solving skills and the ability to troubleshoot integration issues. * Excellent communication and teamwork skills to interact with technical and non-technical stakeholders. Preferred Skills: * Familiarity with data processing pipelines and ETL operations. Additional Technical Requirements: Expertise with the following Ataccama ONE modules is highly desirable: * Metadata Management Module (MMM): Managing data metadata, including definitions, lineage, and quality rules. * Data Processing Module (DPM): Orchestrating data processing tasks between Ataccama modules. * Data Processing Engine (DPE): Performing data extraction, transformation, and loading (ETL) operations. * API Module: Facilitating external system interactions with Ataccama ONE through programmatic access. * Data Governance Suite: Managing data ownership, stewardship, and quality policies. Education: Bachelor's degree Experience: Minimum 10+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Usha Devi Recruiter Phone: ************ Benefits: We have various coverages and additional benefits to choose from: * Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll). * Paid Leaves (Wherever applicable). * Life & Disability Coverage (Upon eligibility). * 401K Option, Education Assistance Program and more. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

The Data Loss Prevention (DLP) Engineer is a member of the Security Operations Center (SOC) team responsible for implementing and operating Inmar's data loss prevention program. This role focuses on protecting sensitive data from unauthorized disclosure, exfiltration, or misuse through the deployment and tuning of DLP technologies across endpoints, networks, and cloud services. The DLP Engineer designs and implements detection rules, analyzes DLP alerts and events, maintains complex detection patterns (primarily regex-based), and works closely with data owners and business stakeholders to balance data security with operational needs. The incumbent must possess strong technical skills in pattern matching, data classification, and security policy enforcement, combined with the ability to investigate and remediate potential data exposure incidents. The candidate must have a service-oriented mentality with strong communication skills to work with business units on data handling practices, a keen eye for false positive reduction, and the ability to continuously refine detection logic to improve accuracy while minimizing disruption to legitimate business activities. Primary Accountabilities: Technical (70%) Design, implement, and maintain DLP policies across endpoint, network, email, and cloud platforms to prevent unauthorized data disclosure. Develop and maintain complex detection patterns using regular expressions (regex), keyword matching, file fingerprinting, and metadata-based rules for identifying sensitive data (PII, PHI, PCI, intellectual property, etc.). Configure and tune DLP rules to detect sensitive data across structured and unstructured formats including documents, databases, emails, web traffic, and cloud storage. Continuously optimize detection accuracy by reducing false positives while maintaining effective coverage of true data exposure risks. Monitor, analyze, and investigate DLP alerts and events to determine if they represent genuine data exposure risks or false positives. Conduct detailed analysis of flagged events including reviewing content snippets, user behavior patterns, file metadata, and transmission channels. Correlate DLP events with other security data sources (SIEM, endpoint detection, user behavior analytics) to identify potential insider threats or data exfiltration attempts. Document investigation findings and provide clear recommendations on incident severity, required remediation actions, and policy adjustments. Escalate confirmed data exposure incidents to the incident response team and support forensic investigations as needed. Engage with engineering teams to maintain and optimize DLP infrastructure including agents, network sensors, cloud connectors, and management consoles. Develop and maintain automated workflows for alert triage, policy updates, and reporting. Create and maintain comprehensive documentation of DLP policies, detection patterns, investigation procedures, and operational runbooks. Test new DLP rules and policies in non-production environments before deployment to minimize business disruption. Integrate DLP systems with other security tools including SIEM, SOAR, ticketing systems, and data classification platforms. Strategic (20%) Research and evaluate new DLP technologies, detection techniques, and data classification methodologies to enhance program effectiveness. Identify gaps in data visibility and coverage, recommending expansion of DLP controls to new data repositories, communication channels, or cloud services. Develop metrics and KPIs to measure DLP program effectiveness including policy coverage, detection accuracy, incident response times, and false positive rates. Provide regular reporting on DLP trends, top data exposure risks, user behavior patterns, and policy effectiveness to SOC management and stakeholders. Collaborate with legal, compliance, privacy, HR, and business units to understand data handling requirements and ensure DLP policies support business operations. Provide guidance to business teams on secure data handling practices and acceptable use of sensitive information. Support privacy and compliance teams with DLP controls for regulatory requirements (GDPR, CCPA, HIPAA, PCI-DSS, etc.). Participate in data classification initiatives to ensure consistent labeling and handling of sensitive information. Contribute to the strategic development and maturation of the organizations DLP program aligned with data protection objectives and regulatory requirements. Operational (10%) Participate in security awareness initiatives by providing real-world examples of data exposure risks and best practices. Maintain knowledge of data protection regulations, industry best practices, and emerging data exfiltration techniques. Support audit and compliance activities by providing DLP policy documentation, configuration details, and evidence of monitoring. Contribute to change management processes for DLP policy updates and system modifications. Success in this role is measured by improved detection accuracy, reduced false positives, timely investigation of DLP alerts, and increased visibility into sensitive data movement across the organization. Operate within SOC workflows, SLAs, and escalation paths for data exposure incidents. Support incident response activities related to data exposure or insider threat investigations. Required Qualifications: Bachelor degree in Computer Science, Information Security, Information Technology, or related field. 3-5 years of experience in cybersecurity with at least 2 years focused on data loss prevention, data security, or security operations. Strong proficiency in regular expressions (regex) for pattern matching and data identification. Experience with enterprise DLP solutions. Understanding of data classification frameworks and sensitive data types (PII, PHI, PCI, trade secrets, intellectual property). Knowledge of data transmission protocols and common data exfiltration channels (email, web uploads, removable media, cloud storage, messaging platforms). Strong analytical skills with ability to investigate security events and distinguish true positives from false positives. Experience with SIEM platforms and security event correlation. Basic Proficiency with scripting or automation (Python, PowerShell, or similar) for data analysis and workflow automation. Excellent written and verbal communication skills with ability to explain technical findings to non-technical stakeholders. Understanding of data privacy regulations such as GDPR, CCPA, HIPAA, and PCI-DSS. Preferred Qualifications: Experience with cloud DLP solutions for Microsoft 365, Google Workspace, AWS, or Azure environments. Knowledge of insider threat detection methodologies and user behavior analytics (UBA/UEBA). Experience with data classification tools and automated content inspection technologies. Understanding of endpoint security controls and endpoint DLP deployment models. Familiarity with SOAR platforms and automated response workflows. Experience with forensic analysis of data exposure incidents. Knowledge of cryptography and encryption technologies for data protection Certifications such as CISSP, Security+, CEH, GCFA, or vendor-specific DLP certifications. Individual Competencies: Integrity: Gains the trust of others by taking responsibility for own actions and telling the truth. Follows through on commitments and agreements; Respects confidentiality; Maintains confidentiality regardless of pressure from others. Teamwork: Builds relationships and works cooperatively with others, inside and outside the organization, to accomplish objectives to build and maintain mutually beneficial partnerships, leverage information and achieve results. Adaptable: Responds to change with a willingness to learn new ways to accomplish work objectives with a positive attitude. Innovative: Ability to develop, sponsor, or support the introduction of new and improved methods, products, procedures or technologies. Analytical and Critical Thinking: Ability to tackle a problem by using a logical, systematic, sequential approach. Communication: Giving and receiving messages and information in written, oral, and visual formats concisely for a complete understanding of meaning and intent. The physical demands described here are representative of those that must be met by an associate to successfully perform the major job responsibilities (essential functions) of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major job responsibilities. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Duties responsibilities and activities may change, or new ones may be assigned at any time with or without notice. While performing the duties of this job, the associate is: Occasionally stand, kneel or stoop, and lift and/or move up to 15 pounds. Regularly view items at an extremely close range and must be able to adjust and readjust focus. Occasionally remain in a stationary position. Regularly use hands to finger, handle or feel objects, tools or controls, and reach with hands or arms. Regularly required to talk or hear and read instructions on a computer monitor and/or printed on paper. As an Inmar Associate, you: Put clients first and consistently display a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients in order to meet their short-term and long-term needs, requirements and exceed their expectations. Treat clients and teammates with courtesy, consideration and tact; perceive the needs of internal and external clients and communicate effectively with the objective of delighting and retaining the client. Build collaborative relationships and work cooperatively with others, inside and outside the organization, to accomplish objectives, develop and maintain mutually beneficial partnerships, leverage information and achieve results. Set and attain achievable, yet aggressive, goals with a sense of urgency and accountability. Understand that results are important and focus on turning mission into action to achieve results following the principles of agile, dynamic execution while consistently complying with quality, service and productivity standards to meet deadlines and exceed expectations by giving our clients the best possible outcome. Support a safe work environment by following safety rules and regulations and reporting all safety hazards. Occasionally: Job requires this activity up to 33% of the time Frequently: Job requires this activity between 33% - 66% of the time Regularly: Job requires this activity more At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages. Eligible associates have access to: Medical, Dental, and Vision insurance Basic and Supplemental Life Insurance options 401(k) retirement plans with company match Health Spending Accounts (HSA/FSA) We also offer: Flexible time off and 11 paid holidays Family-building benefits, including Maternity, Adoption, and Parental Leave Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning Wellness and Mental Health counseling services Concierge and work/life support resources Adoption Assistance Reimbursement Perks and discount programs Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms. At Inmar, compensation reflects our belief in integrity, transparency, and the value of individual contributions. The hiring range for this position is: 91,364.63 - 152,274.38 USD Annual The final offer may vary based on factors such as geographic location, job-related skills, education, certifications, work experience, and other relevant considerations. Depending on the job level and role, it may include: Annual discretionary bonuses through our Core Company Performance Bonus Plan Equity grants, sign-on bonuses, and other tailored incentive opportunities Additional discretionary compensation, such as: Growing Revenue Incentives Corporate or VIP Bonuses Deferred compensation opportunities The actual annualized salary offered at the time of hire will be communicated in the candidate's offer letter. We remain committed to fairness and transparency across all locations. Where required, including for remote-eligible roles, local pay ranges are disclosed in accordance with applicable laws and regulations. We are an Equal Opportunity Employer, including disability/vets. Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice. This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.

As the Data & Analytics Intern for Lowes Foods, you will gain insight into the Lowes Foods business, culture, and data's integral role in decision-making in the retail grocery industry. This intern will partner with other team members and stakeholders to analyze key business initiatives and gather information, analyze data, and report key insights. Prior to the conclusion of the internship, the intern will present final results of the project to the finance team and primary stakeholders. Responsibilities Candidate will learn to use multiple reporting platforms Develop new and enhance existing Power BI reports/dashboards Assemble data to support category reviews Assist in gathering materials for presentations Learn how analytical insights help inform strategic decision-making. Gain insight into Lowes Foods business, culture, and the role data plays in the retail grocery industry Project Expectations: Candidate will partner with other team members and stakeholders to analyze key business initiatives. Candidate will gather information, analyze data, and report key insights. Prior to the conclusion of the internship, the candidate will present final results of the project to the leadership team. All interns are required to present an end of internship project presentation to leadership. Qualifications Microsoft Excel and/or Power BI experience preferred Candidate should have sharp critical thinking skills, attention to detail, and the ability to operate in a team environment Someone with a natural curiosity about data and insights will have the most success in this role #LI-JW1

Location: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Actuarial Analyst III completes very diverse and complicated projects and performs very complex actuarial studies. How You Will Make an Impact: Primary duties may include, but are not limited to: * Analyzes and implements risk contracts including conducting experience analyses, pricing, filing and settlement work; and prepares management reports supporting new capitation initiatives. * Assists in training of actuarial trainees, analysts and specialists. * Coordinates/directs special actuarial projects. Minimum Requirements: Requires a BA/BS and to have passed a minimum of four Society of Actuaries (SOA) actuarial exams and a minimum of 3 years related experience; or any combination of education and experience, which would provide an equivalent background. For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $100,320.00 to $164,160.00. Locations: California; Colorado, New York In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws. * The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Job Level: Non-Management Exempt Workshift: Job Family: ACT > Actuarial Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact ******************************************** for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Join The #1 Furniture Company-Join The #1 Furniture Brand Ashley Furniture Industries, Inc. is the largest manufacturer of furniture in the world. Established in 1945, Ashley offers one of the industry's broadest product assortments to retail partners in 123 countries. Summary Data Pipeline Development * Design, develop, and maintain robust ETL/ELT pipelines for real-time and batch data processing * Build automated data ingestion workflows from various sources including APIs, databases, flat files, and streaming platforms * Implement data transformation logic to cleanse, validate, and enrich raw data * Optimize pipeline performance for high-volume data processing * Develop monitoring and alerting systems for pipeline health and data quality Infrastructure & Architecture * Design and implement scalable data warehouse and data lake architectures * Build and maintain cloud-based data storage solutions using modern platforms (AWS, Azure, GCP) * Implement data partitioning, indexing, and compression strategies for optimal performance * Design disaster recovery and backup strategies for critical data systems * Evaluate and integrate new technologies to improve data infrastructure capabilities Data Management & Governance * Design, Develop and Maintain Data Models * Implement data quality frameworks and validation rules * Establish data lineage tracking and metadata management systems * Ensure compliance with data privacy regulations (GDPR, CCPA, etc.) * Develop and maintain data documentation and schema definitions * Implement security measures including encryption, access controls, and audit logging Collaboration & Support * Partner with data scientists, analysts, and business stakeholders to understand requirements * Provide technical guidance on data architecture and best practices * Support ad-hoc data requests and troubleshoot data-related issues * Mentor junior team members and participate in code reviews * Collaborate with DevOps teams to implement CI/CD practices for data workflows Performance & Optimization * Monitor system performance and identify bottlenecks in data processing * Optimize database queries and data models for improved efficiency * Implement caching strategies and data compression techniques * Conduct capacity planning for growing data volumes * Troubleshoot and resolve production data issues Apply today and find your home at Ashley! Benefits We Offer * Health, Dental, Vision, Employee Assistance Program * Paid Vacation, Holidays, and Your Birthday off * Generous Employee Discount on home furnishings * Professional Development Opportunities * Ashley Wellness Centers (location specific) and Medical Tourism * Telehealth * 401(k) and Profit Sharing * Life Insurance Our Core Values * Honesty & Integrity * Passion, Drive, Discipline * Continuous Improvement/Operational Excellence * Dirty Fingernail * Growth Focused To learn more about Ashley Furniture, our community engagement programs, environmental stewardship, and our core values, please visit our Corporate Social Responsibility information page: Corporate Social Responsibility We are an equal opportunity employer and provide a drug-free working environment. While Ashley appreciates the interest of all candidates only those meeting specific position requirements may be contacted. Principals Only.

Job Profile The Data Integration Analyst is responsible for both the functional support of enterprise applications and the design and maintenance of data integration workflows that connect those applications with other systems and reporting platforms. This role ensures that applications are properly configured for business needs while also enabling reliable, secure, and efficient data movement across the organization. The analyst works with business users, vendors, and within the IT team to optimize applications, troubleshoot issues, and deliver clean, integrated data for analytics and operations. Responsibilities Provide day-to-day support for core business applications (ERP, CRM, TMS, etc) Configure application settings, workflows, and user permissions to meet evolving business requirements. Partner with business analysts and business stakeholders to align application functionality with operational needs. Design, build, and maintain ETL processes and data pipelines between applications, and databases. Integrate applications with enterprise data warehouses Ensure data integrity, consistency, and governance across systems. Support APIs, middleware, and flat-file exchanges between internal and external systems. Automate refresh processes and monitor dataflows to ensure timely availability of reporting data. Assist with testing and data validation related to application upgrades, patches and system enhancements. Monitor performance, resolve system issues, and escalate as necessary. Document system configurations, procedures, and user guides for knowledge sharing. Coordinate with vendors and other IT members for application integration, enhancements, and issue resolution. Ensure compliance with IT policies, security standards, and data governance requirements. Maintain documentation of application configurations, integration flows, and data lineage. Requirements/Key Experiences Bachelor's degree in information technology, Computer Science, Business Systems, or related field (or equivalent experience). Knowledge of enterprise application categories including but not limited to ERP, CRM, EDI, and Document Management, and process automation systems. Strong proficiency with HTML, CSS, JAVASCRIPT, PYTHON, SQL, ETL, XML, reporting tools, and intermediate database concepts. Familiarity with Django REST Framework, React, Docker, and middleware integration patterns. Familiarity with BI/reporting platforms (e.g., Power BI, Tableau) and data modeling concepts. Excellent problem-solving and analytical skills. Strong communication skills with both technical and non-technical audiences. Experience with application testing, change management, and end-user training. Ability to work weekends, holidays and after hours as required to support business needs.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Analyse and identify the linkages and interactions between the component parts of an entire system. + Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. + Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. + Develop skills outside your comfort zone, and encourage others to do the same. + Effectively mentor others. + Use the review of work as an opportunity to deepen the expertise of team members. + Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach + Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps + Structuring, write, communicate and facilitate client presentations; and, + Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

**The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.** Need Help? (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/Career\_site\_FAQ-17**********0.pdf) _If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to_ Accessibility (careers@truist.com?subject=Accommodation%20request) _(accommodation requests only; other inquiries won't receive a response)._ **Regular or Temporary:** Regular **Language Fluency:** English (Required) **Work Shift:** 1st shift (United States of America) **Please review the following job description:** Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk. Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead small projects with manageable risks and resource requirements; play significant roles in larger, more complex initiatives. Act as a resource for teammates with less experience. **ESSENTIAL DUTIES AND RESPONSIBILITIES** Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk. 2. Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 3. Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences. 4. Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners. 5. Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices, focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation. 6. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage; data governance and analytics capabilities; help with the overall risk management for the team. 7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities. **QUALIFICATIONS** Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2. Minimum of six years of related experience 3. Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility 4. In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc. 5. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques 6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight deadlines in a collaborative environment **Preferred Qualifications:** 1. Working experience of delivering data integration solutions using ETL tools (like Informatica, Ab initio etc.) and Programming languages (SAS, Python etc.) 2. Working knowledge of Snowflake and deal with heterogeneous data bases like Oracle, Hive, Netezza, DB2 and SQL Server. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 3. Ten years of relevant work experience if candidate lacks graduate degree 4. Previous experience in the banking or fin-tech industry 5. Experience working with data science workspace within Adobe Enterprise Platform 6. Experience working with Graph Databases, graph query language, and related algorithms **General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site (***************************** . Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. **_Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace._** EEO is the Law (************************************************************************************************** E-Verify (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/E-Verify\_Participation\_Poster-17**********1.pdf) IER Right to Work (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/IER\_RightToWorkPoster-17**********8.pdf)

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Primary Purpose: The Data Engineer II contributes to the expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They will contribute to our data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They engage through the entire lifecycle of a project from data mapping, data pipelines, data modeling, and finally data consumption. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. They will learn to optimize or even re-design our company's data architecture to support our next generation of products and data initiatives. They can take on smaller projects from start to finish, work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors and trace issues to their source. They develop solutions to a variety of problems of moderate scope and complexity. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, and Quincy, MA. Applicants must be currently authorized to work in the United States on a full-time basis. Duties & Responsibilities: * Solves simple to moderate application errors, resolves application problems, following up promptly with all appropriate customers and IT personnel. * Reviews and contributes to QA test plans and supports QA team during test execution. * Participates in developing streaming data applications (Kafka), data transformation and data pipelines. * Ensures change control and change management procedures are followed within the program/project as they relate to requirements. * Able to interpret requirement documents, contributes to creating functional design documents as a part of data development life cycle. * Documents all phases of work including gathering requirements, architectural diagrams, and other program technical specifications using current specified design standards for new or revised solutions. * Relates information from various sources to draw logical conclusions. * Conducts unit testing on data streams. * Conducts data lineage and impact analysis as a part of the change management process. * Conducts data analysis (SQL, Excel, Data Discovery, etc.) on legacy systems and new data sources. * Creates source to target data mappings for data pipelines and integration activities. * Assists in identifying the impact of proposed application development/enhancements projects. * Performs data profiling and process analysis to understand key source systems and uses knowledge of application features and functions to assess scope and impact of business needs. * Implement and maintain data governance policies and procedures to ensure data quality, security and compliance * Ensure operational stability of a 24/7/365 grocery retail environment by providing technical support, system monitoring, and issue resolution which may be required during off-hours, weekends, and holidays as needed. Qualifications: * Bachelors Degree in Computer Science or Technical field; equivalent trainings/certifications/experience equivalency will be considered * 3 or more years of equivalent experience in relevant job or field of technology Preferred Qualifications: * Masters Degree in relevant field of study preferred, Additional trainings or certifications in relevant field of study preferred * Experience in Agile teams and or Product/Platform based operating model. * Experience in retail or grocery preferred. * Experience with Kafka. #DICEJobs #LI-hybrid #LI-SS1 Salary Range: $101,360 - $152,040 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

The Data Loss Prevention (DLP) Engineer is a member of the Security Operations Center (SOC) team responsible for implementing and operating Inmar's data loss prevention program. This role focuses on protecting sensitive data from unauthorized disclosure, exfiltration, or misuse through the deployment and tuning of DLP technologies across endpoints, networks, and cloud services. The DLP Engineer designs and implements detection rules, analyzes DLP alerts and events, maintains complex detection patterns (primarily regex-based), and works closely with data owners and business stakeholders to balance data security with operational needs. The incumbent must possess strong technical skills in pattern matching, data classification, and security policy enforcement, combined with the ability to investigate and remediate potential data exposure incidents. The candidate must have a service-oriented mentality with strong communication skills to work with business units on data handling practices, a keen eye for false positive reduction, and the ability to continuously refine detection logic to improve accuracy while minimizing disruption to legitimate business activities. Primary Accountabilities: Technical (70%) ● Design, implement, and maintain DLP policies across endpoint, network, email, and cloud platforms to prevent unauthorized data disclosure. ● Develop and maintain complex detection patterns using regular expressions (regex), keyword matching, file fingerprinting, and metadata-based rules for identifying sensitive data (PII, PHI, PCI, intellectual property, etc.). ● Configure and tune DLP rules to detect sensitive data across structured and unstructured formats including documents, databases, emails, web traffic, and cloud storage. ● Continuously optimize detection accuracy by reducing false positives while maintaining effective coverage of true data exposure risks. ● Monitor, analyze, and investigate DLP alerts and events to determine if they represent genuine data exposure risks or false positives. ● Conduct detailed analysis of flagged events including reviewing content snippets, user behavior patterns, file metadata, and transmission channels. ● Correlate DLP events with other security data sources (SIEM, endpoint detection, user behavior analytics) to identify potential insider threats or data exfiltration attempts. ● Document investigation findings and provide clear recommendations on incident severity, required remediation actions, and policy adjustments. ● Escalate confirmed data exposure incidents to incident response team and support forensic investigations as needed. ● Engage with engineering teams to maintain and optimize DLP infrastructure including agents, network sensors, cloud connectors, and management consoles. ● Develop and maintain automated workflows for alert triage, policy updates, and reporting. ● Create and maintain comprehensive documentation of DLP policies, detection patterns, investigation procedures, and operational runbooks. ● Test new DLP rules and policies in non-production environments before deployment to minimize business disruption. ● Integrate DLP systems with other security tools including SIEM, SOAR, ticketing systems, and data classification platforms. Strategic (20%) ● Contribute to the strategic development and maturation of the organizations DLP program aligned with data protection objectives and regulatory requirements. ● Research and evaluate new DLP technologies, detection techniques, and data classification methodologies to enhance program effectiveness. ● Identify gaps in data visibility and coverage, recommending expansion of DLP controls to new data repositories, communication channels, or cloud services. ● Develop metrics and KPIs to measure DLP program effectiveness including policy coverage, detection accuracy, incident response times, and false positive rates. ● Provide regular reporting on DLP trends, top data exposure risks, user behavior patterns, and policy effectiveness to SOC management and stakeholders. ● Collaborate with legal, compliance, privacy, HR, and business units to understand data handling requirements and ensure DLP policies support business operations. ● Provide guidance to business teams on secure data handling practices and acceptable use of sensitive information. ● Support privacy and compliance teams with DLP controls for regulatory requirements (GDPR, CCPA, HIPAA, PCI-DSS, etc.). ● Participate in data classification initiatives to ensure consistent labeling and handling of sensitive information. Operational (10%) ● Support incident response activities related to data exposure or insider threat investigations. ● Participate in security awareness initiatives by providing real-world examples of data exposure risks and best practices. ● Maintain knowledge of data protection regulations, industry best practices, and emerging data exfiltration techniques. ● Support audit and compliance activities by providing DLP policy documentation, configuration details, and evidence of monitoring. ● Contribute to change management processes for DLP policy updates and system modifications. ● Success in this role is measured by improved detection accuracy, reduced false positives, timely investigation of DLP alerts, and increased visibility into sensitive data movement across the organization. ● Operate within SOC workflows, SLAs, and escalation paths for data exposure incidents. Required Qualifications: ● Bachelor degree in Computer Science, Information Security, Information Technology, or related field. ● 3-5 years of experience in cybersecurity with at least 2 years focused on data loss prevention, data security, or security operations. ● Strong proficiency in regular expressions (regex) for pattern matching and data identification. ● Experience with enterprise DLP solutions. ● Understanding of data classification frameworks and sensitive data types (PII, PHI, PCI, trade secrets, intellectual property). ● Knowledge of data transmission protocols and common data exfiltration channels (email, web uploads, removable media, cloud storage, messaging platforms). ● Strong analytical skills with ability to investigate security events and distinguish true positives from false positives. ● Experience with SIEM platforms and security event correlation. ● Basic Proficiency with scripting or automation (Python, PowerShell, or similar) for data analysis and workflow automation. ● Excellent written and verbal communication skills with ability to explain technical findings to non-technical stakeholders. ● Understanding of data privacy regulations such as GDPR, CCPA, HIPAA, and PCI-DSS. Preferred Qualifications: ● Certifications such as CISSP, Security+, CEH, GCFA, or vendor-specific DLP certifications. ● Experience with cloud DLP solutions for Microsoft 365, Google Workspace, AWS, or Azure environments. ● Knowledge of insider threat detection methodologies and user behavior analytics (UBA/UEBA). ● Experience with data classification tools and automated content inspection technologies. ● Understanding of endpoint security controls and endpoint DLP deployment models. ● Familiarity with SOAR platforms and automated response workflows. ● Experience with forensic analysis of data exposure incidents. ● Knowledge of cryptography and encryption technologies for data protection. Individual Competencies: ● Integrity: Gains the trust of others by taking responsibility for own actions and telling the truth. Follows through on commitments and agreements; Respects confidentiality; Maintains confidentiality regardless of pressure from others. ● Teamwork: Builds relationships and works cooperatively with others, inside and outside the organization, to accomplish objectives to build and maintain mutually beneficial partnerships, leverage information and achieve results. ● Adaptable: Responds to change with a willingness to learn new ways to accomplish work objectives with a positive attitude. ● Innovative: Ability to develop, sponsor, or support the introduction of new and improved methods, products, procedures or technologies. ● Analytical and Critical Thinking: Ability to tackle a problem by using a logical, systematic, sequential approach. ● Communication: Giving and receiving messages and information in written, oral, and visual formats concisely for a complete understanding of meaning and intent. The physical demands described here are representative of those that must be met by an associate to successfully perform the major job responsibilities (essential functions) of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major job responsibilities. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Duties responsibilities and activities may change, or new ones may be assigned at any time with or without notice. While performing the duties of this job, the associate is: ● Regularly required to use hands to finger, handle or feel objects, tools or controls, and reach with hands or arms. ● Regularly required to talk or hear and read instructions on a computer monitor and/or printed on paper. ● Occasionally required to stand, kneel or stoop, and lift and/or move up to 15 pounds. ● Regularly required to view items at an extremely close range and must be able to adjust and readjust focus. ● Occasionally required to remain in a stationary position. As an Inmar Associate, you: ● Put clients first and consistently display a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients in order to meet their short-term and long-term needs, requirements and exceed their expectations. ● Treat clients and teammates with courtesy, consideration and tact; you also can perceive the needs of internal and external clients and communicate effectively with the objective of delighting and retaining the client. ● Build collaborative relationships and work cooperatively with others, inside and outside the organization, to accomplish objectives, develop and maintain mutually beneficial partnerships, leverage information and achieve results. ● Set and attain achievable, yet aggressive, goals with a sense of urgency and accountability. ● Understand that results are important and focus on turning mission into action to achieve results following the principles of agile, dynamic execution while consistently complying with quality, service and productivity standards to meet deadlines and exceed expectations by giving our clients the best possible outcome. ● Support a safe work environment by following safety rules and regulations and reporting all safety hazards. Occasionally: Job requires this activity up to 33% of the time Frequently: Job requires this activity between 33% - 66% of the time Regularly: Job requires this activity more At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages. Eligible associates have access to: * Medical, Dental, and Vision insurance * Basic and Supplemental Life Insurance options * 401(k) retirement plans with company match * Health Spending Accounts (HSA/FSA) We also offer: * Flexible time off and 11 paid holidays * Family-building benefits, including Maternity, Adoption, and Parental Leave * Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning * Wellness and Mental Health counseling services * Concierge and work/life support resources * Adoption Assistance Reimbursement * Perks and discount programs Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms. We are an Equal Opportunity Employer, including disability/vets. Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice. This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Respond effectively to the diverse perspectives, needs, and feelings of others. + Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. + Use critical thinking to break down complex concepts. + Understand the broader objectives of your project or role and how your work fits into the overall strategy. + Develop a deeper understanding of the business context and how it is changing. + Use reflection to develop self awareness, enhance strengths and address development areas. + Interpret data to inform insights and recommendations. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach + Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Structuring, write, communicate and facilitate client presentations; and, + Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing AI/GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Respond effectively to the diverse perspectives, needs, and feelings of others. * Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. * Use critical thinking to break down complex concepts. * Understand the broader objectives of your project or role and how your work fits into the overall strategy. * Develop a deeper understanding of the business context and how it is changing. * Use reflection to develop self awareness, enhance strengths and address development areas. * Interpret data to inform insights and recommendations. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach * Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Structuring, write, communicate and facilitate client presentations; and, * Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing AI/GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Craft and convey clear, impactful and engaging messages that tell a holistic story. * Apply systems thinking to identify underlying problems and/or opportunities. * Validate outcomes with clients, share alternative perspectives, and act on client feedback. * Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. * Deepen and evolve your expertise with a focus on staying relevant. * Initiate open and honest coaching conversations at all levels. * Make difficult decisions and take action to resolve issues hindering team effectiveness. * Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a strategic level to drive project success. You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and collaborating with business stakeholders to translate their data requirements into technical solutions. Responsibilities * Design and implement thorough data architecture strategies * Lead large-scale projects and innovate processes * Maintain operational excellence and client interactions * Develop and document data models and data flow diagrams * Adhere to data governance and security policies * Collaborate with business stakeholders to translate data requirements into technical solutions * Drive project success through strategic advising and problem-solving * Foster a diverse and inclusive team environment What You Must Have * Bachelor's Degree * 8 years of experience What Sets You Apart * Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus * Designing and implementing thorough data architecture strategies * Developing and documenting data models and data flow diagrams * Maintaining data architecture compliance with governance and security policies * Collaborating with stakeholders to translate data requirements into solutions * Evaluating and recommending new data technologies and tools * Leading data strategy engagements providing thought leadership * Developing leading practices for Data Engineering, Data Science, and Data Governance * Architecting and implementing cloud-based solutions meeting industry standards Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 60% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Craft and convey clear, impactful and engaging messages that tell a holistic story. + Apply systems thinking to identify underlying problems and/or opportunities. + Validate outcomes with clients, share alternative perspectives, and act on client feedback. + Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. + Deepen and evolve your expertise with a focus on staying relevant. + Initiate open and honest coaching conversations at all levels. + Make difficult decisions and take action to resolve issues hindering team effectiveness. + Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a strategic level to drive project success. You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and collaborating with business stakeholders to translate their data requirements into technical solutions. **Responsibilities** - Design and implement thorough data architecture strategies - Lead large-scale projects and innovate processes - Maintain operational excellence and client interactions - Develop and document data models and data flow diagrams - Adhere to data governance and security policies - Collaborate with business stakeholders to translate data requirements into technical solutions - Drive project success through strategic advising and problem-solving - Foster a diverse and inclusive team environment **What You Must Have** - Bachelor's Degree - 8 years of experience **What Sets You Apart** - Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams - Maintaining data architecture compliance with governance and security policies - Collaborating with stakeholders to translate data requirements into solutions - Evaluating and recommending new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based solutions meeting industry standards Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: *********************************** \#LI-Hybrid