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Director, Data Science

Headway

$255,000 - $300,000
Oct 15, 2025
New York, NY, US • San Francisco, CA, US • Seattle, WA, US
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Headway's mission is to build a new mental health care system everyone can access. The core insurance platform is the financial engine of the business, handling everything from providing patients with clear cost estimates to processing claims and ensuring providers are paid accurately. The company is making a significant new investment in this area and requires a senior and strategic data partner to own the complete data narrative for this business-critical domain, transforming the data function into a predictive, strategic powerhouse that directly impacts revenue, efficiency, and patient trust.

Requirements

  • Deep Quantitative Acumen in a Complex Domain: You have a proven track record of applying sophisticated analytics and data science to messy, high-stakes business problems.
  • Ideally: Health tech, with direct exposure to Revenue Cycle Management (RCM), claims data, or payer analytics.
  • Alternatively: Other complex transactional ecosystems like Fintech (payments, risk), Insurtech, or multi-sided Marketplaces.
  • Technical credibility to lead a team of specialists; you don't need to be the best coder, but you must be able to guide technical discussions on modeling, experimental design, and data architecture.

Responsibilities

  • Oversee the development and performance of our patient cost estimation models, a crucial element of the patient experience.
  • Own the end-to-end analytics of our Revenue Cycle Management (RCM).
  • Develop and monitor core KPIs like clean claim rate, denial rates, and cash collection velocity.
  • Build systems to detect anomalies and forecast financial outcomes.
  • Translate their roadmap into a clear analytics and data science agenda that uncovers opportunities and guides investment.
  • Communicate complex findings on platform health, financial performance, and strategic opportunities with clarity and conviction to senior leadership and cross-functional stakeholders.
  • Guide technical discussions on modeling, experimental design, and data architecture.

Other

  • 10+ years of experience in data, with at least 5+ years in a leadership role where you have successfully built and scaled high-performing data teams, including managing other managers.
  • High Agency and a "Builder" Mindset: You are energized by ambiguity and the challenge of building a function from the ground up. You are a proactive, relentless problem-solver who takes complete ownership.
  • Exceptional Executive Communication: You can distill complex analytical topics into clear, concise narratives and strategic recommendations for stakeholders across the organization, including the executive team.
  • Hire, inspire, and manage a growing team of data scientists, and a data science manager.
  • Foster a culture of analytical rigor, business impact, and high agency.