Data Product Manager, Finance

MongoDB•Austin, TX

20h•Hybrid

About The Position

The Internal Data team powers decisions and applications across MongoDB, organized around four core business areas: GTM, Product & Technology, Finance, and HR. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, dashboards, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. Our work directly enables teams to hit their KPIs, automate workflows, and build the AI and BI capabilities that drive the business forward. We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external platform. As the company continues to grow, the scope and the stakes of that work grow with it. This role is focused on our Finance domain, where data products support smarter planning, forecasting, spend efficiency, and financial performance analysis. If you want to build data products that matter at scale, this is the role for you. This role can be based out of our NYC, Austin, Palo Alto, or San Francisco office locations or remotely in the United States.

Requirements

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
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 the ability to give stakeholders clear visibility into product direction, progress, and risk
You thrive with clear direction and take full ownership of your workstreams once priorities are set

Nice To Haves

Hands-on experience with BI, analytics, or data engineering tools
Experience creating documentation or enablement content for internal users
Interest in metadata, data governance, or data discoverability
Experience building or improving internal tools or platforms

Responsibilities

Own Finance-focused data products end to end, with cross-functional teams to set priorities, shape requirements, and drive delivery.
Build and maintain pipelines, datasets, dashboards, APIs, and frameworks that Finance teams rely on daily for planning, forecasting, and performance analysis, while also contributing to the underlying data management tools and services that power AI and BI across the company.
Spend time with Finance teams learning their workflows, translating their needs into clear requirements and user stories, and building relationships across Finance, engineering, and other technical counterparts.
Keep the voice of the user central in every prioritization and discovery conversation, and push for the right solutions even when the ask is not fully formed.
Own your product backlog, break complex problems into well-scoped increments, manage dependencies across technical teams, and support agile delivery from sprint planning through release.
Define success metrics and track adoption, usability, and business value.
Create documentation and onboarding materials, support rollouts, and partner with stakeholders on change management.
When issues arise, work with engineering and finance teams to drive resolution and capture what can be learned for next time.