Director, Data Analytics

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.

Reporting to the VP of Data Engineering and Analytics, this role is to lead the Data Analytics team to enable global Analytics across Oura.

We are seeking an experienced analytics platform leader as the Director for the Data Analytics team. In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations.

The core function is to define and execute the organization’s data strategy to drive business decisions and outcomes by bridging the gap between technical and business stakeholders, transforming data into actionable insights to improve performance, efficiency and revenue.

You will lead a talented team of business and data analysts, acting as a player‑coach to guide their work and develop their careers. As a key partner to leaders across the Data Engineering and Analytics organization, you will translate complex business challenges into a clear analytical roadmap, ensuring your team delivers accurate, trustworthy, and actionable insights that shape the future of Oura's growth.

• Vision & roadmap for analytics:
  Define and execute the analytics data lifecycle (business metrics, KPI frameworks, data products, governance) tied to company OKRs and growth objectives.
• Strategic problem framing:
  Translate ambiguous, cross‑functional business problems into clear analytical roadmaps and prioritized portfolios of work.
• Executive communication & storytelling:
  Convert complex data into clear, actionable insights for senior stakeholders across Finance, Marketing, Sales, Product, Hardware/Supply Chain, Membership, Commercial, CX, Clinical, etc.
• Collaboration:
  
  Independently collaborate with different stakeholders including Data Management, Data Engineering, Data Scientists, Research Operations, Testing, Software, Firmware, and Hardware to define and implement improvements and new functionality and support internal Data lakehouse consumers in their day‑to‑day work.
• Cross‑functional influence:
  Serve as a trusted advisor to business and technical leaders; drive alignment and adoption of analytics standards, metrics, and tools across domains.
• People leadership:
  Build, lead, and develop high‑performing analytics teams (including managing managers), acting as a player‑coach and fostering technical excellence and business impact.
• Data Products:
  Enable the creation of a unified data catalog. Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data products that can be easily consumed by other domains, often through data pipelines and stores like data lakes or lake houses.
• Self‑Serve Platform Analytics Platform:
  Develop and maintain both prepared and self‑serve data infrastructure platforms that provide domain teams with the tools and capabilities to create, manage, and consume data products. Use AI agents to deliver interactive dashboards with automated insights, predictive analytics, and anomaly detection.
• Global Data Governance, Residency, Data Mesh Privacy:
  Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements.
  • Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices across multiple regions internationally.
  • Translate…