Data Product Management, Vice President

JPMorgan Chase JPMorgan Chase · Banking · Columbus, OH +1 · Corporate Sector

The Data Product Management, Vice President role at JPMorgan Chase focuses on building and managing HR data products that support reporting, analytics, and AI/ML initiatives. The role involves defining strategy, roadmaps, and OKRs, partnering with various teams including AI/ML, and ensuring data governance, quality, and lifecycle management. While the role supports AI/ML, it is not directly building AI models but rather managing the data products that feed into them.

What you'd actually do

  1. Own multi‑year strategy, outcomes, and OKRs for your HR data domain. Prioritize a portfolio backlog across competing demands; balance near‑term value with long‑term platform investments. Engage senior HR and business leaders to identify opportunities and align on outcomes;
  2. Translate business needs into epics, features, and user stories with clear acceptance criteria; maintain a transparent, prioritized backlog and delivery plan.
  3. Conduct user discovery and stakeholder interviews to gather business requirements, pain points, and opportunities for improvement.
  4. Partner with Business Intelligence, AI/ML, and Product teams to ensure data products meet reporting, analytics, and automation needs.
  5. Collaborate with Information Architecture and Data Engineering to onboard new data sources and transform them into performant, fit-for-purpose data offerings.

Skills

Required

  • 5+ years delivering data products, analytics platforms, or enterprise data solutions in complex environments
  • Translate business needs into epics, features, and user stories with clear acceptance criteria; maintain a transparent, prioritized backlog and delivery plan.
  • Deep understanding of modern data platforms and cloud ecosystems, including entitlements, catalog/lineage, and data quality tooling.
  • Proficiency in SQL for data testing, validation, and ad‑hoc analysis; ability to guide users on how to access and use data products effectively.
  • Experience with data onboarding, metadata management, governance workflows, and compliance in control‑heavy or regulated environments with multiple lines of defense.
  • Strong stakeholder engagement and communication skills; ability to translate technical capabilities into clear business outcomes and articulate trade‑offs.

Nice to have

  • Experience with HR domain processes, systems, or data (e.g., ATS, HRIS, payroll, benefits, time and attendance, performance, learning).
  • Understanding of privacy and compliance considerations for HR data (PII, regional data protection requirements).
  • Familiarity with HR analytics use cases.

What the JD emphasized

  • complex environments
  • control-heavy or regulated environments