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. As Senior Data Science Manager for Customer Experience, you will define and lead the insights strategy for Headway’s customer experience ecosystem. The team’s mission is to deliver timely, meaningful support when it matters most through best-in-class tooling, automation, and AI. 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. World-class support is a core part of customer experience and essential to Headway’s growth. You will partner closely with Product, Engineering, and Customer Experience to deeply understand and improve the customer support experience. 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 support quality and effectiveness, ensuring your team delivers work that leads to real, measurable improvements.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed