Director, Analytics Engineering & Data Products NEW

The Briefed; New York (NY); Hybrid; USD 199,000 - 261,000; Full time

Benefits offered by this job

Unlimited vacation

11 paid holidays

Paid sick time

Wellness reimbursements

Healthcare options

Paid parental leave

401(k) with match

Job summary

Oscar Health, headquartered in New York, seeks a Director of Analytics Engineering to shape enterprise data products and governance. You will lead analytics engineering managers and senior ICs, driving data strategy across the organization and enabling trusted, self-service analytics with governed data layers for AI workflows.

You will partner with executives to align data investments, improve metrics, and advance cloud platforms, while maintaining strong data lineage and production-grade

Qualifications

• 10+ years in analytics engineering, data engineering, or technical architecture.
• 5+ years leading multi-team data/engineering organizations.
• Experience with enterprise data transformation at scale.
• Expert in SQL, cloud data warehouses (BigQuery, Snowflake or Redshift), dbt, Looker.
• Data governance, metadata, lineage, and data product ownership.
• Experience enabling analytics with governed data models for AI/ML.
• Strong executive communication of complex data concepts.

Responsibilities

• Define and execute the analytics engineering operating plan for scalable data products.
• Build and govern the enterprise transformation layer (dbt, Looker) with clear lineage and metrics.
• Establish production-grade software engineering practices and data observability standards.
• Recruit, mentor, and lead analytics engineering managers and senior ICs.
• Partner with executives to align data investments and report on operating metrics.
• Expand self-service analytics while structuring governed data layers for AI workloads.
• Measure data trust, pipeline reliability, delivery velocity, and cloud cost efficiency.

Skills

SQL

Leadership

Executive communication

Data governance

Analytics strategy

Tools

dbt

Looker

BigQuery

Snowflake

Redshift

Monte Carlo

Datadog Data Observability

Job description

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 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

Reporting directly to the VP of Data, the Director of Analytics Engineering sets the enterprise strategy for trusted, governed, and reusable data products across Oscar Health. Leading a multi-team organization of analytics engineering managers and senior technical individual contributors, you will drive enterprise-wide transformation of data practices, semantic layers, and cloud platforms. You will establish production-grade engineering standards that accelerate self-service analytics, ensure strict data lineage and governance, and provide the clean foundation required to power business operations and responsible AI/ML applications.

Key Responsibilities

• Analytics Engineering Strategy & Delivery: Own and execute the enterprise analytics engineering operating plan, building scalable strategies that make reliable, reusable data products accessible across the company.
• Enterprise Data Transformation & Semantic Layer: Build and govern the enterprise transformation layer (dbt, Looker) to ensure data quality, clear lineage, standardized metrics, and secure, role-based access.
• Production Standards & Observability: Establish production-grade software engineering practices, testing protocols, data observability standards, and incident response procedures for core data products.
• Multi-Team Leadership & Talent Development: Recruit, mentor, and lead a high-performing organization of analytics engineering managers and senior technical talent, defining career growth paths and organizational structure.
• Executive Alignment & Governance: Partner with business, engineering, and executive stakeholders to align data investments, communicate risks, and report on operating metrics during quarterly business reviews.
• Self-Service & AI Enablement: Expand company-wide self-service analytics adoption while structuring governed data layers to feed downstream machine learning models and Generative AI applications.
• Operational Metrics & Cost Optimization: Measure and continuously improve data trust, pipeline reliability, delivery velocity, query performance, and cloud data platform spending efficiency.

Requirements

Executive Data Leadership & Technical Depth

• 10+ years of progressive experience in analytics engineering, data engineering, or quantitative technical architecture.
• 5+ years of direct leadership experience managing multi-team data or engineering organizations, including developing engineering managers and senior individual contributors.
• Enterprise Data Transformation: Proven track record of leading complex, cross-functional data transformation initiatives at scale across multiple teams or departments.
• Technical Stack Mastery: Advanced expertise in SQL, dimensional modeling, modern data architecture, cloud data warehouses (Google Cloud Platform / BigQuery, Snowflake, or Redshift), transformation tools (dbt), semantic layers, and BI tools (Looker).
• Data Governance & Lifecycle Management: Deep hands-on experience with data quality frameworks, metadata management, lineage, data product ownership, and lifecycle practices.
• AI & Analytics Enablement: Demonstrated experience preparing governed data models specifically designed to support analytics, machine learning, and Generative AI workflows.
• Executive Communication: Exceptional ability to translate complex data architecture into clear strategic narratives for executive and non-technical stakeholders.

Location & Logistics

• Ability to work a hybrid schedule out of Oscar's New York City, NY headquarters (3 days in-office per week, with required in-office presence on Thursdays).

Preferred Qualifications

• Direct domain experience within healthcare, health insurance, managed care, or other strictly regulated data environments (HIPAA compliance).
• Hands-on experience scaling dbt Mesh, enterprise semantic layers, or automated data observability platforms (e.g., Monte Carlo, Datadog Data Observability).

Total Rewards & Benefits

• Compensation & Equity: Competitive base salary of $198,720 – $260,820 USD + annual performance bonus + company equity grants.
• Time Off & Flexibility: Participation in Oscar's Unlimited Vacation Program, 11 paid holidays, paid sick time, and paid wellness reimbursements.
• Comprehensive Healthcare: Premium medical, dental, and vision insurance options, plus life and disability coverage.
• Family & Financial Support: Paid parental leave, 401(k) retirement savings plan with match, and wellness reimbursements.