Senior Manager, Data Science - Insurance Platform

Headway•Seattle, WA

1d•$212,000 - $265,000

About The Position

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.

Requirements

8+ years of experience in data science or analytics roles.
3+ years of experience managing and developing teams.
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.
Deep expertise in measurement science and causal inference, especially Bayesian A/B testing, with the ability to coach others through complex experimental design.
Proficiency in forecasting and predictive modeling techniques.
Hands-on technical fluency in SQL and Python or R.
Experience with data modeling, ideally using dbt, including event-driven modeling patterns and structuring datasets for both analytical use and AI-readiness.
Experience adopting and championing AI-assisted tools to accelerate and automate data workflows.
Strong communication and stakeholder management skills.

Nice To Haves

Prior experience in healthcare, specifically insurance, is a plus.

Responsibilities

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.

Benefits

Equity compensation
Medical, Dental, and Vision coverage
HSA / FSA
401K
Work-from-Home Stipend
Therapy Reimbursement
16-week parental leave for eligible employees
Carrot Fertility annual reimbursement and membership
13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
Flexible PTO
Employee Assistance Program (EAP)
Training and professional development