Program Manager, Data Transformation

Ōura•San Francisco, CA

11d•Hybrid

About The Position

Oura is seeking a Program Manager, Data Transformation to run the day-to-day program engine for turning business data into governed, trusted, decision-ready metrics. Working within the Data Transformation program alongside the Staff Program Manager, this role owns the delivery rhythm for assigned data domains, including intake, prioritization, tracking, ownership, certification, and reporting. Initial focus areas include Hardware and Supply Chain. The role establishes intake discipline by classifying requests as Directional (fit for use and fast), Governed (for executive, board, investor, or external use, with a certification path), or Not ours (operational or application work routed to the owning business team). It also drives delivery and certification work, using sprints where useful. The Program Manager connects hardware and supply chain teams—including manufacturing, quality, logistics, sourcing, planning, and new product introduction—with Data Engineering and Analytics. The goal is to ensure key metrics relied on by executives, Finance, and auditors have a consistent definition, accountable owner, and clear progression from directional to governed and certified. This hybrid role is based in Oura’s San Francisco office.

Requirements

5 to 8 years of experience in program management, technical program management, or business operations, including experience supporting data, analytics, or operations teams.
Experience running cross-functional programs with many stakeholders and competing priorities without formal authority.
Experience with metric governance or controls, including definitions, ownership, documentation, and formal sign-off.
Comfort working in Databricks or a similar lakehouse, navigating the catalog, reading SQL queries or models to understand metric computations, and spot-checking numbers against source tables.
Working understanding of data pipelines and transformation layers such as dbt or equivalent, including tracing lineage from source systems to reported numbers and identifying where metrics are computed.
Experience with data quality controls, including defining validation tests, reading test results, and tracing failures to root cause.
Ability to maintain process requirements with senior stakeholders, including redirecting requests while preserving relationships.
Hands-on experience with work-tracking tools such as Jira and running sprints or lightweight agile cadences.
Clear written and verbal communication skills, including status reporting for senior audiences.

Nice To Haves

Experience in hardware, manufacturing, quality, logistics, sourcing, or supply planning.
Background in consumer hardware, wearables, medical devices, or another regulated hardware business.
Exposure to financial reporting, SOX-style controls, audit preparation, or IPO readiness.
Experience at a high-growth or pre-IPO company.
Experience working with distributed teams across US and European time zones.
Comfort using modern AI tooling to speed up analysis, documentation, and reporting.

Responsibilities

Take business metrics from informally tracked to fully certified, with locked definitions, a single accountable owner, and documented lineage and controls.
Ensure each key metric in assigned domains has a clear owner and approver, and keep ownership current as the business changes.
Triage incoming data requests based on intended use and required rigor, and route work belonging to other teams to the appropriate owners.
Run a structured intake process with clear priorities, business justification, and reliable response times.
Drive cross-functional programs to completion across Data Engineering, Finance, Supply Chain, Hardware, and IT, using agile practices where helpful.
Keep program plans accurate and visible, with named leads, dates, and trustworthy status updates.
Track data issues and metric regressions through resolution, and support documentation for internal and external audits.
Communicate progress and data health clearly to senior leaders, and drive adoption of standardized metric definitions.
Drive metric certification and delivery commitments, including running sprints where they help.