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JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

The HR Data Products organization builds trusted, governed, and discoverable data assets that power reporting, analytics, and AI across the employee lifecycle. We partner with stakeholders in People Operations, HR Technology, Business Intelligence, AI/ML, Information Architecture, and Data Engineering to deliver high-quality, fit-for-purpose data products with clear lineage, controls, and measurable business impact.

As a Vice President Data Product Manager in HR Data Products, you will lead the strategy and delivery of a portfolio of HR data products. You will define multi-year roadmaps, set OKRs, align stakeholders, and drive end-to-end execution-from discovery and requirements through launch, adoption, and continuous improvement. You will champion data governance, quality, and self-service, enabling HR and business teams to make faster, better decisions.

Job Responsibilities:

  • 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;
  • Translate business needs into epics, features, and user stories with clear acceptance criteria; maintain a transparent, prioritized backlog and delivery plan.
  • Conduct user discovery and stakeholder interviews to gather business requirements, pain points, and opportunities for improvement.
  • Partner with Business Intelligence, AI/ML, and Product teams to ensure data products meet reporting, analytics, and automation needs.
  • Collaborate with Information Architecture and Data Engineering to onboard new data sources and transform them into performant, fit-for-purpose data offerings.
  • Establish and maintain strong data governance, quality, and lifecycle management practices for talent data, ensuring compliance with firmwide standards.
  • Own the development and maintenance of data catalog, metadata, glossary, and lineage capabilities for Talent Acquisition and Off-boarding datasets.
  • Drive continuous improvement in data product offerings through stakeholder feedback, usage insights, and industry best practices.

Required qualifications, capabilities and skills:

  • 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.
  • 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.

Preferred qualifications, capabilities and skills:

  • 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.
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