Data Science Manager

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

We’re looking for a Data Science Manager to lead insights and data science across Headway’s full patient acquisition and matching funnel — from marketing and discovery through provider matching and retention in care.

In this role, you’ll lead a team of data scientists who uncover insights, drive experimentation, and develop models that guide how patients find care through Headway. You’ll shape the analytics and measurement strategy for how we attract, convert, and retain patients — and ultimately how we deliver better mental health outcomes at scale.

This is a highly cross-functional role that partners closely with Product, Engineering, Marketing, and Design leaders. The ideal candidate brings both technical rigor and empathy for the patient and provider experience — someone who can translate data into strategic decisions that improve access to care and business performance alike.

This is an opportunity to bring analytical strategy, scientific rigor and empathy to a problem that truly matters — helping people access effective, personalized mental healthcare.

What You’ll Do

• Lead and grow a team of data scientists supporting multiple product areas across the patient journey (e.g., acquisition, search, activation, retention).
• Deliver high-quality product analytics — diagnose funnel performance, identify leverage points, and surface actionable opportunities for growth.
• Partner with Growth and Product to optimize acquisition strategies (SEM/SEO/AEO), evaluate efficiency and quality of leads, and connect early-funnel actions to long-term care outcomes
• Drive experimentation rigor — uplevel standards for test design, causal inference, and statistical reporting, while mentoring PMs and marketers in experimentation literacy
• Develop BI and self-serve analytics capabilities that democratize data and empower teams to make informed decisions
• Scope and guide applied data science initiatives such as conversion prediction and LTV forecasting to improve both patient outcomes and business impact
• Translate complex insights into clear, data-driven recommendations that balance growth efficiency with Headway’s mission to expand access to care
• Influence senior leadership strategy by representing the data perspective across the full patient and provider lifecycle.
  
  

What We’re Looking For

• 6+ years of experience in data science, analytics, or growth analytics roles, with at least 2+ years in people management.
• Proven track record leading teams that span BI, product analytics, and applied data science.
• Strong background in experimentation; able to both set strategy and coach others.
• Hands-on technical fluency in SQL and Python/R, with experience working with modern data stacks (e.g., Snowflake, dbt, Looker).
• Experience partnering across marketing and product teams to optimize full-funnel performance.
• Strong communication and stakeholder management skills — able to “translate” technical insights into business impact.
• Bonus: experience in predictive modeling for growth/retention, marketing attribution, or LTV modeling.
  
  

Why This Role is Exciting

• You’ll shape analytics for the entire customer journey, not just one stage of the funnel.
• You’ll build the bridge between BI, experimentation, and applied DS, ensuring the org moves with both rigor and speed.
  
  

You’ll have high visibility with senior leadership and a chance to direct