Director, Analytics Engineering
- Pay
- $198,720 – $260,820 per year
- Location
- New York, NY · Hybrid
- Job type
- Full-time
- Level
- Director
- Experience
- 10+ years
- Listed
- 20 days ago
Skills & highlights for this role
- SQL
- dimensional modeling
- dbt
- Looker
Also useful
- Google Cloud Platform
- semantic modeling
- data observability
Stated benefits & perks
- Medical
- Dental
- Vision
- 401k
- Equity
About the role
Hi, we're Oscar. We're hiring a Director, Analytics Engineering to join our Data team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.
About the role
The Director of Analytics Engineering leads the Analytics Engineering function for Oscar Health and sets the enterprise strategy for trusted, governed, reusable data that is well documented, high quality, and ready to support analytics and AI applications. This leader drives enterprise wide transformation of data practices, platforms, and operating models to improve the speed, reliability, and adoption of self service analytics and responsible AI use.
You will report into the VP, Data.
Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid
Pay Transparency
The base pay for this role is: $198,720 - $260,820 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
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.
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.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
Equal opportunity and legal notices
Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known.
California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.
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.
From Oscar Health's careers page, first listed on Rolev.ai on October 20, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Director, Analytics Engineering role at Oscar Health, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Common questions
What is the salary for the Director, Analytics Engineering role at Oscar Health?
The Director, Analytics Engineering posting at Oscar Health states compensation of $198,720 – $260,820 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Oscar Health's official career site.
Where is the Director, Analytics Engineering job at Oscar Health located?
This Director, Analytics Engineering position at Oscar Health is located in New York, NY (Hybrid). Always check Oscar Health's application page for specific state eligibility or relocation policies.
What qualifications are required for Director, Analytics Engineering at Oscar Health?
For the Director, Analytics Engineering role, Oscar Health highlights 10+ years of relevant experience; experience with SQL, dimensional modeling, dbt, Looker. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Director, Analytics Engineering position at Oscar Health?
This listing links directly to Oscar Health's Greenhouse application page. You can apply directly on Oscar Health's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.