Director, Data Product Manager

Position Summary

General Atlantic is looking to hire a Data Product Manager to drive the vision, roadmap, and delivery of data and analytics products that power decision‑making across the firm’s investment, finance, and operations teams. This role will focus on building and scaling high‑quality data platforms, curated data sets, and analytical experiences (dashboards, reports, self‑service tools) that enable stakeholders to access trusted, timely insights.

You will act as a critical liaison between business stakeholders (e.g., Investment, Capital Solutions, Finance, Human Capital), data engineers, BI developers, and application teams, translating business needs into data products with clear outcomes and measurable value. This position will report directly to the Senior Director of Project/Product Management.

Responsibilities 

Product strategy & roadmap

• Define and own the product vision and multi‑release roadmap for GA’s core data and analytics platforms and products, aligned to firm and departmental priorities
• Translate business goals into clear problem statements, hypotheses, and outcome‑oriented use cases for data products (e.g., portfolio analytics, fundraising and investor reporting, operational dashboards)
• Partner with technology leadership to make build vs buy decisions, evaluate third‑party tools, and shape the overall data architecture and product strategy

Requirements, backlog, and stakeholder engagement

• Serve as the primary point of contact for stakeholders to capture, refine, and prioritize enhancements and new data product requests
• Facilitate requirement sessions, translate business needs into well‑structured epics, user stories, and acceptance criteria, and maintain a transparent, prioritized backlog in tools such as Jira
• Communicate roadmap, release plans, and changes to stakeholders; manage expectations and trade‑offs across competing priorities

Delivery & execution

• Work hand‑in‑hand with data engineers, BI developers, and application teams to design solutions, validate feasibility, and ensure requirements are well‑defined to minimize rework
• Lead end‑to‑end delivery for data products, including design, development, testing, launch, and post‑go‑live stabilization
• Coordinate user acceptance testing, define test scenarios, and oversee execution with business partners
• Prepare concise status updates and materials for working teams and senior/executive stakeholders

Data model, quality, and governance

• Partner with data engineering and architecture teams to design scalable, well‑documented data models and semantic layers aligned to business concepts and reporting needs
• Define and track data quality requirements (completeness, accuracy, timeliness), and collaborate on validation frameworks, monitoring, and remediation workflows
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