Senior Manager, Data Science - Insurance Platform

Headway’s mission is a big one – to build a new mental health care system everyone can access. We’ve built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 1 in 4 people in the US have a treatable mental health condition, but the majority of providers don’t accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. Headway was founded in 2019. Since then, we’ve grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We’re a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. About the Role As Senior Data Science Manager for Insurance Platform, you will define and lead the data strategy for Headway's insurance ecosystem. The team's mission is to ensure every patient gets accurate benefits, seamless claims processing, and a reliable path to care through an insurance platform they can trust. You will report into Headway's Platform Group, a mission-critical pillar that ensures the systems behind our insurance platform reliably power patient, provider, and payer experiences. Accurate insurance operations sit at the core of Headway's ability to scale, and data is essential to identifying, measuring, and resolving the gaps that drive patient loss and operational cost. You will partner closely with Product, Engineering, and Operations across our Benefits, Eligibility, Corrections, Claims, and Paneling pods to deeply understand and improve how our insurance platform performs. You will define the right questions, proactively uncover opportunities, and use data to guide decisions from early concept through launch and iteration. You will set the standards for how we define accuracy, loss, and operational effectiveness, ensuring your team delivers work that leads to real, measurable improvements in patient and provider outcomes. What You’ll Do Lead and grow a high-performing team of Data Scientists, fostering a culture of technical excellence and strategic thinking. Develop quarterly roadmaps with cross-functional partners, align Data Science resources, and oversee execution of timely and high-quality work. Drive insights and decisions through strategic analysis, reporting, predictive modeling, and experimentation. Architect a measurement framework that gives the organization a unified, trusted view of insurance accuracy across eligibility determination, benefits pricing, claims adjudication, and payer reconciliation, so we know exactly where patients are falling through the cracks and why. Partner cross-functionally to build proactive monitoring and alerting systems that shift the team from reactive firefighting to systematic loss prevention. Stay close to the data by tackling strategic projects yourself, surfacing gaps in our data and understanding of the insurance systems we depend on. Translate complex technical findings into clear, actionable recommendations for executive stakeholders. What We’re Looking For 8+ years of experience in data science or analytics roles. 3+ years of experience managing and developing teams. Prior experience in healthcare, specifically insurance, is a plus. Proven ability to drive cross-functional planning processes, including developing quarterly roadmaps, aligning resources across teams, and holding a high bar for execution quality and timeliness. Proven success partnering cross-functionally with Product, Engineering, and Operations. Dee ... (truncated, view full listing at source)