
at J.P. Morgan
Bulge Bracket Investment BanksPosted 11 days ago
No clicks
**Data Product Manager - Vice President** orchestrates HR data product strategy, driving multi-year roadmaps, and balancing near-term value with long-term platform investments. Key responsibilities include stakeholder alignment, setting objectives, and leading end-to-end execution. Champion data governance, quality, and self-service to empower HR and business teams with faster, better decisions. Must-have: 5+ years of data product delivery experience, SQL proficiency, and strong stakeholder engagement skills. Preferred: HR domain experience, HR analytics use cases understanding, and privacy compliance knowledge.
- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
Full Job Description
Location: Wilmington, DE, United States
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, artificial intelligence and machine learning, information architecture, and data engineering to deliver highquality, fitforpurpose 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 multiyear roadmaps, set objectives and key results, align stakeholders, and drive endtoend executionfrom discovery and requirements through launch, adoption, and continuous improvement. You will champion data governance, quality, and selfservice, enabling HR and business teams to make faster, better decisions.
Job responsibilities
- Own multiyear strategy, outcomes, and objectives and key results for your HR data domain.
- Prioritize a portfolio backlog across competing demands and balance nearterm value with longterm 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, and 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, artificial intelligence and machine learning, 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, fitforpurpose data offerings.
- Establish data governance, quality, and lifecycle management practices for talent data, ensuring compliance with enterprise standards.
- Own the development and maintenance of data catalog, metadata, glossary, and lineage capabilities for Talent Acquisition and Offboarding datasets.
- Drive continuous improvement in data product offerings through stakeholder feedback, usage insights, and industry best practices
Required qualifications, capabilities, and skills
- 5 years of experience delivering data products, analytics platforms, or enterprise data solutions in complex environments
- Experience translating business needs into epics, features, and user stories with clear acceptance criteria
- Experience managing a transparent, prioritized backlog and delivery plan
- Experience with modern data platforms and cloud ecosystems, including entitlements, catalog/lineage, and data quality tooling
- Proficiency in SQL for data testing, validation, and adhoc analysis
- Experience with data onboarding, metadata management, governance workflows, and compliance in controlheavy or regulated environments with multiple lines of defense
- Strong stakeholder engagement and communication skills, including translating technical capabilities into clear business outcomes and articulating tradeoffs
Preferred qualifications, capabilities, and skills
- Experience with HR domain processes, systems, or data (for example, applicant tracking systems, human resources information systems, payroll, benefits, time and attendance, performance, or learning)
- Understanding of privacy and compliance considerations for HR data (including personally identifiable information and regional data protection requirements)
- Familiarity with HR analytics use cases




