Data Product Manager - Vice President
About The Position
As a Product Manager – Vice President in Talent Data Product, you will help execute the roadmap for data products supporting Talent Acquisition, Onboarding, Off-boarding, and Workforce Planning. You will work with Business Intelligence, AI/ML, Product, Information Architecture, and Data Engineering to deliver curated, high-quality, well-governed datasets that support a cohesive candidate and employee experience. This is an execution-oriented role with ownership of discovery, requirements, backlog, delivery coordination, and data product quality. The role applies product development expertise, user research, customer feedback, and product metrics to develop and improve products. You will help ensure data products meet reporting, analytics, and automation needs, onboard and transform data sources into fit-for-purpose offerings, and maintain governance, quality, lifecycle, catalog, metadata, glossary, and lineage practices for talent datasets.
Requirements
- At least 7 years of experience or equivalent expertise in product management or a relevant domain area.
- Proficient knowledge of the product development lifecycle.
- Experience with product lifecycle activities, including discovery and requirements definition.
- Developing knowledge of data analytics and data literacy.
- Ability to translate business needs into epics, features, and user stories with clear acceptance criteria, and maintain a transparent, prioritized backlog and delivery plan.
- Working knowledge 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, and ability to guide users on accessing and using data products.
- 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, including the ability to translate technical capabilities into business outcomes and articulate trade-offs.
Nice To Haves
- Experience working with Talent-related processes, systems, or data.
- Understanding of privacy and compliance considerations related to HR data.
Responsibilities
- Partner with the Product Manager to identify product opportunities based on customer and market needs through research and discovery.
- Consider upstream and downstream impacts of new features on the overall product experience.
- Support user research, journey mapping, and market analysis to inform the product roadmap and identify valuable features.
- Analyze, track, and evaluate product metrics, including performance against time, cost, and quality targets across the development lifecycle.
- Write requirements, epics, and user stories to support product development.
- Conduct user discovery and stakeholder interviews to gather business requirements, pain points, and improvement opportunities.
- Partner with Business Intelligence, AI/ML, and Product teams to meet reporting, analytics, and automation needs.
- Collaborate with Information Architecture and Data Engineering to onboard data sources and transform them into performant, fit-for-purpose data offerings.
- Establish and maintain data governance, quality, and lifecycle management practices for talent data in accordance with firmwide standards.
- Own development and maintenance of data catalog, metadata, glossary, and lineage capabilities for Talent Acquisition and Off-boarding datasets.
- Improve data product offerings using stakeholder feedback, usage insights, and industry best practices.
- Translate business needs into epics, features, and user stories with acceptance criteria, and maintain a prioritized backlog and delivery plan.
- Use SQL for data testing, validation, and ad hoc analysis, and guide users in accessing and using data products effectively.
Benefits
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
