Manager, Data Science, Forecasting & Routing

<div class="content-intro"><h2><strong>Our mission: e</strong><span class="heading--font-style-italic">liminating</span>&nbsp;every barrier to&nbsp;<span class="heading--accent-1-color">mental health.</span></h2> <p>Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.<br><br>Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.<br><br>As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.</p></div><p>Reporting to the Director of Data Science and partnering closely with Product, Engineering, and Actuarial teams, the Manager of Data Science will lead a team responsible for forecasting care utilization and optimizing member routing decisions. This role will drive the development of decision systems that balance clinical outcomes with business economics, enabling sustainable growth of Spring Health’s care models.</p> <p>Please note that this is a <strong>hybrid role based in San Francisco</strong>, with an expectation to be in the office 2–3 days per week at our 44 Montgomery Street location. Candidates must be based in the San Francisco metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.&nbsp;</p> <p><strong>What you’ll do:</strong>&nbsp;</p> <ul> <li>Lead and develop a team of data scientists working on utilization forecasting and care routing optimization</li> <li>Define and execute the data science roadmap supporting forecasting accuracy, experimentation, and decision systems</li> <li>Build and productionize forecasting models that predict care utilization across customer lifecycle stages</li> <li>Develop and iterate on routing algorithms and experimentation frameworks to influence member care pathways</li> <li>Partner with Product and Engineering to translate models into scalable, real-time systems</li> <li>Collaborate with Actuarial and Finance teams to align forecasts with pricing assumptions and business targets</li> <li>Design and