Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.
As a Senior Product Manager - Sr. Associate in Talent Data Product , you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success. . In this role, you will help execute the roadmap for data products that support Talent Acquisition, Onboarding, Off‑boarding, and Workforce Planning. You will partner across Business Intelligence, AI/ML, Product, Information Architecture, and Data Engineering to deliver curated, high‑quality, well‑governed datasets that enable a cohesive, frictionless, and personalized candidate and employee experience. This is an execution‑oriented role with clear ownership of discovery, requirements, backlog, delivery coordination, and data product quality.
Job responsibilities
- Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
- Considers and plans for upstream and downstream implications of new product features on the overall product experience
- Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
- Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
- Writes the requirements, epics, and user stories to support product development
- 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
- 3+ years of experience or equivalent expertise in product management or a relevant domain area
- Proficient knowledge of the product development life cycle
- Experience in product life cycle activities including discovery and requirements definition
- Developing knowledge of data analytics and data literacy
- Translate business needs into epics, features, and user stories with clear acceptance criteria; 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; 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 working with Talent-related processes, systems, or data.
- Understanding of privacy and compliance considerations related to HR data.