Staff Program Manager, Enterprise Data Transformation

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.

• Design how data is used to drive planning, forecasting, and resource allocation across the company.
• Partner with Finance and BizOps to ensure planning systems are grounded in consistent, trusted data.
• Build mechanisms that connect operational metrics to strategic decision-making and executive prioritization.
• Enable faster, higher-confidence decisions by improving signal clarity and reducing ambiguity in core business data.

• Translate complex technical and systems challenges into clear, decision-oriented narratives for executives.
• Provide structured updates on data health, system integrity, and transformation progress.
• Drive organizational adoption of standardized metrics, reporting systems, and data definitions.
• Influence without authority across senior leaders to ensure alignment on the “one version of truth.”

We would love to have you on our team if you:

• Have 10–12+ years of experience in strategy consulting (MBB preferred) and/or corporate strategy, BizOps, or data strategy with ownership of enterprise planning or decision systems
• Bring exceptional executive presence and can drive clarity, alignment, and decision-making without formal authority
• Have built operating models and cross-functional systems in high-growth environments, combining strategic thinking with deep operational rigor
• Have designed and scaled systems from first principles—not just operated or inherited existing processes
• Operate with AI fluency and use modern tooling to accelerate analysis, automate insight generation, and improve organizational decision velocity
• Have partnered directly with C-suite executives on portfolio prioritization, resource allocation, and enterprise planning
• Experience in consumer tech, subscription businesses, or digital health is a strong plus

• Experience building data trust systems, metric layers, or enterprise-scale decision infrastructure
• Experience in high-growth technology, SaaS, consumer technology, healthcare technology, or subscription businesses
• Familiarity with modern data stack architecture, BI systems, and analytics tooling
• MBA or equivalent strategic training preferred. External audit experience (Big 4: PwC, Deloitte, EY, KPMG) — specifically having produced lineage documentation, evidence packages, and SOX-aligned controls reviewed by external auditors — is a strong differentiator

This is a remote US role. We have a strong preference for candidates based in San Francisco or the Bay Area, and are open to candidates in PST or MST time zones.