Data Product Manager, Finance
Owns end-to-end Finance data products including pipelines, dashboards, and APIs for planning and forecasting. Partners with Finance and engineering teams, shapes strategy, drives delivery, and ensures adoption. Requires 3-5 years PM experience with data products and Finance stakeholder collaboration.
About the job
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.
Skills
Data Products, Pipelines, Datasets, Dashboards, APIs, Data Platforms, Lakehouse, Medallion Models, Sox, Analytics, Bi, Agile, Product Backlog, Success Metrics
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