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Senior Director, Data Management

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Ouraring Inc
Part Time, Remote/Work from Home position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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.

We are seeking an experienced and visionary data management leader as the Sr Director for our Data Engineering & Analytics team. In this role, you will be responsible for setting the vision and roadmap for the E2E data lifecycle including data acquisition, data quality, and delivery to accelerate our business growth, deepen our membership understanding, and optimize our business operations.

You will lead a talented team of data engineers and analysts, acting as a player-coach to guide their work and develop their careers. As a key partner to Senior 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.

This is either a hybrid role based in San Francisco, CA with the expectation to be in-office 2 - 3 days per week or a remote based U.S. role.

What You Will Do

  • Lead & Mentor: Build, manage, and mentor a high-performing team of data engineers, architects and analysts. Foster a culture of technical excellence, business impact, and deep curiosity.
  • Strategic Partnership: Serve as a trusted advisor to senior leadership in Product, Hardware/Supply Chain, Clinical, Marketing, Commercial, Membership, Finance, and Sales. Proactively identify opportunities and risks, and influence the GTM strategy through data-driven storytelling.
  • Roadmap & Execution: Own the data platform roadmap, prioritizing projects that align with company OKRs. Oversee the entire data and ML lifecycle from ideation and data exploration in partnership with the Sr. Director of Data Science in the development of advanced analytics models and the delivery of insights.
  • Drive Technical Excellence: Establish and enforce best practices for the full data science development lifecycle, from prototyping to productionalizing models. Deliver optimal ML platform and tooling for the team.
  • Governance:
    Guarantee Quality & Trust:
    Champion best practices in data science to ensure the accuracy, reliability, and trustworthiness of all data products and insights delivered by your team. Establish processes for rigorous validation and peer review.
  • Cross-Functional Collaboration: Work closely with the other data leaders supporting Product teams to ensure a holistic view of the customer journey. Partner with Data Engineering and Business Intelligence teams to advocate for the data infrastructure, tooling, and data governance best practices your team needs to succeed.
  • Build, operate, and improve Oura’s Data lakehouse: consisting of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as Google Big Query, Vertex

    AI, Databricks, Azure, AWS Kinesis, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more.
  • Global Data Residency, Data Mesh Privacy: Ensure that our federated data mesh and processes meet governance policies, privacy, compliance, and security requirements.
  • Machine Learning Life Cycle: Lead machine learning components that support the handling of datasets, training, testing, and release of new on-device and cloud-based ML models.
  • Collaborate: Independently collaborate with different stakeholders including Data Scientists, Research Operations, Testing, Firmware, and Hardware to define and implement improvements and new functionality and support internal Data…
Position Requirements
10+ Years work experience
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