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Salary: USD 240,120 - 315,158 / annual
Oscar Health is seeking a Senior Director of Data Science to lead data science strategy and execution across Core Insurance and Network businesses, including Claims, Authorization Services, Pharmacy, Payment Integrity, and Network.
In this role, you will set strategy, roadmap, outcomes, and resource allocation for the Core Insurance and Network data science portfolio. You will lead a multi-team organization through managers and senior technical leaders, developing talent, planning succession, and building an inclusive, high-performing culture. You'll partner with leaders across the technology organization and Core Insurance and Network to align priorities and resolve tradeoffs.
Key responsibilities include owning measurable portfolio impact by applying analytics, experimentation, statistical methods, and machine learning to improve affordability, operational performance, and member and provider experience. You will guide the delivery of scalable, reliable, and explainable data science solutions embedded in business workflows while upholding standards for rigor, governance, privacy, security, and compliance. You'll establish clear decision rights, planning cadences, and ownership for cross-team work, including care navigation and cost-estimation capabilities. Additionally, you will define success measures and communicate progress, risks, resource needs, and impact to executives, helping shape Data strategy and technical standards.
You will report to the VP of Data and be part of the Data senior leadership team, owning portfolio priorities, organizational health, and impact.
Work Location: This position is based in New York City, Los Angeles, or Tempe with a hybrid schedule (3 days in-office per week, with Thursdays required). Alternatively, you may work remotely from San Francisco, Boston, Dallas, or Atlanta markets.
REQUIREMENTS:
- 12+ years of experience in data science, analytics, or another quantitative field, including setting strategy and delivering cross-functional data products or programs
- 8+ years of experience using SQL and Python, R, or another analytical language to analyze large, complex datasets
- 8+ years of experience applying advanced analytics, experimentation, statistical modeling, machine learning, or large-scale data processing to business decisions
- 7+ years of experience working with data in healthcare
- 7+ years working in a complex environment and managing interactions with multiple cross-functional stakeholders (business, product, engineering, etc.)
- 5+ years of people management experience, including leading managers and multiple data science or analytics teams
BONUS POINTS:
- Master's or Ph.D. in a quantitative or technical field, or equivalent applied experience
- Leadership experience in health insurance or another regulated industry; experience in claims, authorization, pharmacy, payment integrity, provider networks, care navigation, or cost estimation
