Data Product Owner - Data Risk and Privacy Services

Establish a product vision and clear delivery roadmaps for Application Data Archive and Enterprise Records Management capabilities Collaborate closely with architecture, data engineering, and compliance to develop an Application Data Archive solution that meets technical, regulatory, and business needs and works effectively with enterprise services; this may include thinking through proof-of-concept solutions and assessing whether they are viable and scalable in partnership with IT Serve as the voice of the customer: gather stakeholder input (Business, IT, Risk, Compliance, Legal) and drive decisions that balance regulation, usability, and technical feasibility. Own and prioritize the squad product backlog based on customer value; ensure user stories are clear, testable, and aligned to business outcomes. Drive agile planning and team cadences: lead PI planning, sprint planning, demos, and retrospectives together with the aligned delivery squad(s) Actively manage product delivery: identify and mitigate delivery risks and dependencies; work with stakeholders and delivery partners to effectively manage trade-offs; lead day-to-day delivery with the squad(s); communicate progress and roadblocks clearly with all stakeholders. Define success metrics and monitor product health (adoption, time-to-value, defect trends, compliance KPIs); use data to prioritize and de-risk work. Demonstrate a product mindset, driving toward solutions that create user value and focusing on business outcomes and impact. Practical experience with backlog management tools (e.g., Jira), road mapping, and metrics-driven decision making. Strong stakeholder management and communication skills including ability to establish clarity throughout the stages of product lifecycle management; comfortable in high-visibility, cross-functional settings. Demonstrated success collaborating with engineering teams and technical stakeholders to implement data services Experience delivering products in agile environments and comfort leading planning and work refinement ceremonies Understanding of data environments and tools such as SQL (Aurora PostgreSQL, Serverless, etc.), Java Spring, JavaScript / TypeScript, Node.js/React/Next.js, Spring Boot, AWS products (S3, Lambda, Data Migration service, Athena, Glacier), Kafka (standard and connector type), Kubernetes. Experience with Mainframe DB/2/VSAM, Cobol, Informatica, Snowflake, Python, Codacy, and/or MongoDB would be valuable but is not required Strong written and oral communication skills required Experience in communicating recommendations to senior business leaders preferred BA/BS, or relevant work experience, in Computer Science or related field preferred MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred 5-7 years of experience working in coding and data solutions design principles, particularly in open source tools and technology