Program Manager, Enterprise Data Transformation Remote

Remote - United States

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

As our Staff Program Manager, Enterprise Data Transformation, you will define and scale the operating system for company truth at Oura.

Your mission is to ensure every executive, finance, product, and go-to-market decision is powered by a single, trusted, and consistently defined version of business reality. You will partner closely with leaders across Data, Engineering, Finance, Product, Commercial, Operations, Legal, and IT to design and run the systems that define how Oura measures, understands, and acts on its business.

You will own cross-functional programs that connect data infrastructure, metric definitions, reporting systems, and decision workflows into a cohesive “truth layer” for the company. This includes ensuring that critical business metrics are consistently defined, reliably computed, and trusted across all layers of the organization.

This role sits at the intersection of systems design, data strategy, and executive decision-making. It is ideal for a program leader who thrives in ambiguity, operates comfortably across technical and executive audiences, and is motivated by building foundational systems that enable companies to scale with clarity and speed.

• Own the definition, consistency, and integrity of Oura’s core business metrics across product, finance, and go-to-market.
• Establish and maintain a unified “metrics layer” that ensures a single source of truth for executive and operational decision-making.
• Resolve ambiguity in metric definitions and drive alignment across senior stakeholders when competing interpretations exist.
• Ensure critical KPIs are consistently defined, reproducible, and trusted across the organization.
• Partner with the CFO’s office and FP&A to define, document, and deliver the financial KPIs that show up in Board and exec reporting including but not limited to (Revenue, Gross profit/margin, adjusted EBITDA, Net Income, Units Sold, Warranty Rate, Membership, Engagement, and Retention and the long tail of corporate metrics).
• Establish each financial KPI as a governed, audit-grade data product — locked definitions, single owner, quality tests, full lineage to source systems, formal sign-off by key stakeholders, and a documented change-management process.

• Treat key data pipelines and metrics as production-grade systems with defined reliability standards.
• Establish monitoring, validation, and escalation processes for data issues affecting tier-1 business metrics.
• Drive structured incident management processes for data breaks, metric regressions, and reporting inconsistencies.
• Improve end-to-end data quality across systems of record, transformation layers, and reporting tools.
• Ensure the analytics delivered in external audit cycles — documentation, walk auditors through lineage, and ensure SOX-aligned controls and segregation-of-duties practices are reflected in how financial metrics are produced.

• Coordinate large-scale initiatives spanning Data Engineering, Analytics, Finance, GTM, Product, Operations, and Technology.
• Manage complex dependencies across business and technical systems to ensure consistent data flow and logic.
• Establish governance forums and decision frameworks that ensure clarity, accountability, and fast resolution of tradeoffs.
• Translate fragmented systems into coherent operating models that support scalable decision-making.