Director, Analytics Engineering

About the role:

Responsibilities:

• Own delivery of the analytics engineering operating plan through a multi-team organization, setting the strategy and operating model 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 the engineering standards and operating practices that keep enterprise data products consistent, reliable, observable, and supported by clear production-quality and incident-response practices.
• Build and lead high-performing teams, including managers and senior ICs; 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 the 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.
• Compliance with all applicable laws and regulations
• Other duties as assigned

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 points:
• Experience in healthcare, insurance, or another regulated environment.
• This is an authentic Oscar Health job opportunity.
• At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
• Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
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