Senior Director, Data Management

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, VertexAI, 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 lakehouse consumers in their day-to-day work.
• Self-Serve Platform Analytics Platform: Build and maintain a self-serve data infrastructure platform that provides domain teams with the tools and capabilities to create, manage, and consume data products leveraging AI Agents to deliver interactive dashboards.
• Analytics Platform Design:  Automated insights, predictive analytics, anomaly detection insights
• Building MCP (Model Context Protocol) and RAG (Retrieval Augmented Graph) to build unique AI/ML models using our ontology (Clinical, Product, Research) to build, train custom models for early detection, predictions, recommendations to drive outcomes
• Provide a clinical trial data management platform for regulatory submissions and scientific publications
• AI/LLM Enablement and Readiness: Natural Language Processing (NLP) and Large Language Model (LLM) Design using Retrieval Augmented Generation (RAG), Vector based data architecture and design, Prompt Engineering to enable LLM reporting
• Data Products: 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 lakehouses. 

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

• 15 + years of leadership experience in data and analytics, including a track record of building and scaling high-performing data teams and cloud-based data platforms. 
• 7+ years of experience hiring, developing, and scaling data teams, including managing managers and fostering leadership growth. 
• Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 20. 
• Led the data lifecycle from ingestion to delivery
• Led data mesh delivery, management and governance
• Led Machine Learning (ML) development support and operations
• Led data engineering initiatives to build a best-in-class data infrastructure that drives growth across business segments 
• Established scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices 
• Leveraged AI, machine learning, and predictive analytics to enhance efficiency, personalization, and business growth 
• Fostered a data-driven culture, enabling data-centric decision-making across all levels of the organization 
• Led strategic analytics initiatives that enhance decision-making, operational efficiency, and measurable business outcomes. 
• Served as a strategic advisor to the executive team, providing data-driven recommendations 
• Driven innovation by leveraging emerging data technologies and fostering these capabilities within the team 
• Attracted, developed, and inspired top data talent, ensuring alignment with organizational goals 
• Familiarity with some of the following: Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks
• A pragmatic, collaborative and goal oriented approach to development
• Strong self-motivation, and a proactive approach to effectively lead and manage your own work

Willing to travel minimum 25% travel (international and domestic)

Nice to Have

• Experience in Clinical Outcomes data and metrics in a Population Health environment
• Experience in the consumer electronics, wearables, digital health, or subscription services industries
• Agentic AI and ML Ops platform experience
• Familiarity and experience with the Data Mesh approach
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages
• Hands-on expertise in cloud platforms (AWS, GCP, or Azure), data mesh (Databricks, BigQuery or Redshift), and modern architectures 
• Experience streamlining multiple data pipelines into a centralized function that allows effective and efficient oversight of business processes and product development; expertise in integrating diverse data sources, including product, transactional, and compliance data
• Embedded analytics into product, marketing, business operations, and customer experience 
• Ability to navigate hypergrowth while managing regulatory constraints 
• Adept at balancing technical depth with strategic thinking, seamlessly transitioning between vision and execution 
• Passion for fostering data literacy and a data-driven culture that empowers self service insights 
• Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 20. 
• Strong technical foundation, demonstrated through education or early-career hands-on roles 
• Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI 
• Security & compliance mindset - determined to establish excellent HIPAA, PHI Healthcare data governance, privacy, and compliance standards in regulated environments 
• Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs 
• Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred 

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $261,800 - $308,000
• Region 2 $236,300 - $278,000
• Region 3 $212,500 - $250,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).