Data Product Manager - Sr. Associate

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.

#hrcdao