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.
Requirements
- 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
- 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
- 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
- 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
- Contribute to data governance practices including definitions, lineage, access controls, and stewardship model for key data domains
- Define and instrument KPIs to measure data product adoption, performance, and business impact; use these to inform backlog prioritization and investment decisions
- Continuously gather feedback, analyze usage patterns, and iterate on product features, UX, and documentation to improve usability and value
Benefits
- Competitive compensation
- Comprehensive health, dental, and vision insurance plans
- Retirement savings plan with employer matching
- Professional development opportunities and ongoing training
- Collaborative and inclusive work culture with opportunities for advancement
