Oscar Health: Director, Analytics Engineering — New York, New York, United States

About Oscar Health

Oscar Health is a health-insurance business built around a technology platform and member services. Its recruitment board also describes Oscar Medical Group activities in virtual health assessments and virtual care. Those notices reflect distinct parts of the wider operation: insurance products and member administration alongside clinical services. Technology, insurance operations and care delivery consequently appear in different roles on the board, with the employing team determining the service and professional responsibilities of an individual position.

The position and its setting

Oscar Health lists Director, Analytics Engineering in New York, New York, United States, under reference 8301400. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Data
• Employer listing date: 20 October 2026

Responsibilities and work described

• 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
• 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
• 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
• Building: and govern the enterprise data transformation layer that enables trusted analytics and AI, with clear ownership, definitions, quality, lineage, and secure access
• Establishment: the engineering standards and operating practices that keep enterprise data products consistent, reliable, observable, and supported by clear production-quality and incident-response practices
• Building: 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

Essential requirements and candidate background

• 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: dbt, Looker, Google Cloud Platform, or comparable technologies
• Experience enabling analytics, machine learning, or generative AI with governed, reusable data products
• Experience: data governance, quality, metadata, lineage, access, data-product ownership, and lifecycle practices
• Influence executive and non technical stakeholders through clear strategy, communication, and measurable outcomes

Preferred experience and additional strengths

• Experience: 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
• 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• 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
• Advertised location: New York, New York, United States

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Director, Analytics Engineering vacancy is not an offer for reference 8301400; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Oscar Health

Applications follow the official employer page linked below.

Open the official Oscar Health posting below and match the title and reference 8301400.

Compare your qualifications and experience with the essential conditions for the New York, New York, United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: SQL

SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.

Relevant skills

• SQL
• GCP
• AI/ML
• Google Cloud
• machine learning
• AI
• compliance
• insurance
• investment
• stakeholder management