JPMC
Data Product Management, Vice President
- Compensation
- Not disclosed
- Location
- Columbus, OH, United States
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Not specified
- Posted
Skills
Must have
- 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.
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.
Full description
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, 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.
Key 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:
- 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.