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Salary: USD 198,720 - 260,820 / annual
Oscar Health is seeking a Director of Analytics Engineering to lead the Analytics Engineering function and set enterprise strategy for trusted, governed, reusable data. This role reports to the VP of Data and is responsible for driving enterprise-wide transformation of data practices, platforms, and operating models to improve speed, reliability, and adoption of self-service analytics and responsible AI use.
Key responsibilities include:
- Own delivery of the analytics engineering operating plan through a multi-team organization, establishing strategy and operating models that make trusted, reusable data easier to build and use
- Build and govern the enterprise data transformation layer that enables trusted analytics and AI, with clear ownership, definitions, quality, lineage, and secure access
- Establish engineering standards and operating practices that keep enterprise data products consistent, reliable, observable, and supported by production-quality and incident-response practices
- Build and lead high-performing teams, including managers and senior individual contributors; set priorities, accountability, organization design, and growth paths
- Partner with business and technology leaders to align operating-plan priorities, investments, and delivery across the enterprise
- Expand self-service analytics by improving tools, guidance, and support that help people use data confidently
- Measure and improve data trust, delivery speed, self-service adoption, reliability, and cost efficiency
- Represent the function in operating-plan and quarterly business reviews, communicating progress, risks, investment needs, and outcomes to executive stakeholders
Work location is hybrid, requiring 3 days per week in the New York City office. Thursdays are mandatory in-office for team meetings and events; the other two office days are flexible.
Requirements:
- 10+ years of progressive experience in analytics engineering, data engineering, or related technical roles
- 5+ years leading multi-team data, analytics, or engineering organizations and developing managers and senior technical talent
- Demonstrated success leading complex, cross-functional data or technology transformations across multiple teams or at enterprise scale
- Deep experience with SQL, dimensional modeling, data modeling, cloud data platforms, and modern transformation, semantic modeling, and data observability tools
- Experience with dbt, Looker, Google Cloud Platform, or comparable technologies
- Experience enabling analytics, machine learning, or generative AI with governed, reusable data products
- Experience with data governance, quality, metadata, lineage, access, data-product ownership, and lifecycle practices
- Ability to influence executive and non-technical stakeholders through clear strategy, communication, and measurable outcomes
Bonus: Experience in healthcare, insurance, or another regulated environment.
