Data Product Manager, Finance

What You'll Do

• Own Finance-focused data products end to end, partnering with cross-functional teams to shape product strategy, set priorities, define requirements, and drive delivery.
• Build and maintain pipelines, datasets, dashboards, APIs, and frameworks that Finance teams rely on for planning, forecasting, and performance analysis.
• Contribute to data management tools and services that power AI and BI across the company.
• Understand Finance stakeholders' workflows, translate needs into requirements and user stories, and build relationships across Finance, engineering, and technical teams.
• Keep the voice of the user central in prioritization and discovery, shape the roadmap for Finance-focused data products, and push for the right solutions.
• Own product backlog, break complex problems into increments, manage dependencies, support agile delivery, and make tradeoffs across business impact, technical feasibility, and timelines.
• Define success metrics and track adoption, usability, and business value; drive adoption through documentation, onboarding, rollouts, and change management.
• Partner with engineering and Finance teams to resolve issues and capture learnings.

What We're Looking For

• 3 to 5 years of product management experience with a focus on data products, platforms, analytics, or internal business systems, including at least one year at a modern, high-growth company.
• Direct experience partnering with Finance stakeholders on planning, forecasting, or reporting workflows.
• Solid foundation in data, analytics, and technical product management, with ability to work with engineering on technical details while focusing on user value and business outcomes.
• Familiarity with modern data platforms and scalable architecture concepts such as lakehouse or medallion models.
• Experience working with sensitive financial data, including SOX-related processes, with sound judgment on balancing controls with execution speed.
• Strong communication skills across technical and non-technical audiences, with ability to give clear visibility into product direction, progress, and risk.
• Comfortable operating with guidance from senior product and data leaders while independently owning area and driving work forward with high accountability.