ŌURA · 11 hours ago
Senior Director, Data Management
San Francisco, CA
Full-time
Hybrid
Director/Executive
$262K/yr - $308K/yr
15+ years expŌURA is a company dedicated to empowering individuals to understand and improve their health through innovative products. They are seeking a Senior Director for their Data Engineering & Analytics team to oversee the end-to-end data lifecycle, mentor a talented team, and provide actionable insights that drive business growth.
Health Wellness & Fitness
Responsibilities
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
Qualification
Required
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)
Preferred
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 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
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
Company
ŌURA
Oura is an award-winning, fast-growing startup that helps people get up close and personal with their health.
501-1000 employees
H1B Sponsorship
ŌURA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (6)
2023 (4)
2022 (3)
2021 (3)
Funding
Current Stage
Late StageLeadership Team
Tom Hale
Chief Executive Officer
Sean Brecker
Chief Financial Officer
Recent News
2024-05-13
2024-05-13
Company data provided by crunchbase