Senior Manager, Data Science - Finance & Accounting
HeadwayNew York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States$212k – $265kPosted 27 March 2026
Job Description
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 Finance and Accounting, you will define and lead the data insights strategy for Headway's financial ecosystem. The team's mission is to provide a holistic understanding of our financial health and our revenue infrastructure.
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 and complete financial visibility is a core part of our operations and essential to Headway's growth.
You will partner closely with both the Finance department (including Accounting, Strategic Finance, and FPA teams) and Engineers and Product Managers in our Payments and Billing Infra RD pods to improve our revenue infrastructure and financial reporting. You will define the right questions, uncover opportunities, and work cross-functionally to turn insights into measurable improvements in how we track and report financial performance. In doing so, your team will provide a timely and trusted view into company performance that shapes our customer experience and supports Headway's path to public company readiness.
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, and predictive modeling.
Build a metrics framework that connects our revenue infrastructure to financial outcomes, surfacing gaps in our data and reporting.
Deep dive into areas we don’t fully understand to segment our data and understand where there’s opportunities to improve efficiency and mitigate loss.
Partner cross-functionally to ensure our revenue systems provide the auditability and data traceability we need to be GAAP compliant and audit-ready.
Stay close to the data by tackling strategic projects yourself, identifying underlying trends and areas of opportunity.
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.
Working knowledge of core finance and accounting concepts such as how transaction-level data powers financial reporting (PL, balance sheet, and cash flow statement).
Experience working with healthcare Revenue Cycle Management (RCM) is strongly preferred.
Proven success partnering cross-functionally with Finance, Accounting, Product, Engineering, and Operations teams, and collaborating internally across Data Engineering and Data Science.
Proficiency in forecasting and predic ... (truncated, view full listing at source)
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