Senior Director of Data Science, Customer Experience

Our mission: to eliminate every barrier to mental health. 

Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person — whether that’s meditation, coaching, therapy, medication, and beyond. 

Today, Spring Health equips over 800 companies, from start-ups to multinational Fortune 500 corporations, as a leading and preferred mental health service. Companies like J.P. Morgan Chase & Co., Microsoft, J.B. Hunt, Bumble, and Instacart use the Spring Health platform to provide mental health services to thousands of their team members globally. We have raised over $370 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership, our current valuation has reached $2.5 billion.

We are seeking an exceptional hands-on data science leader to own and drive the data science vision and strategy for our Customer Experience team. You will lead a team of data scientists, data analysts and analytical engineers embedded onto a cross functional product team. Your focus will be on crafting a compelling value and outcomes narrative for Spring Health services, aimed at buyers and customers. This is an exciting opportunity to scale up the analytical stack and algorithms powering a best-in-class workplace mental health command center, delivering real-time insights and recommendations for HR leaders and their employees.

What you'll be doing: 

• Develop and Execute Data Science Roadmap: Partner with product, engineering, and design leads to conceptualize, design, and implement an ambitious data science roadmap for the customer experience product team.
• Drive Analytics Strategy for Customer Success: Own and lead the analytics strategy and value proposition for our Customer Success and Sales teams, aiming to enhance retention and drive upsell opportunities.
• Team Leadership and Mentorship: Lead, mentor, and manage a team of data scientists, focusing on building the analytical infrastructure, automated dashboards, and algorithms that power our customer experience analytics and reporting suites, translating data into actionable insights.
• Enhance Customer Experience with Predictive Models: Guide the team in creating predictive and machine learning models to elevate our customer experience, including developing a personalized population-level insights engine that drives clinical and financial outcomes, as well as deploying generative Al chatbots to synthesize and summarize member themes.
• Conduct Analytical Deep-Dives: Perform in-depth analyses to proactively identify product …