Associate Director, Product Data Science

At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

We’re looking for a new leader in our data organization to guide and grow our product data science team at Spring Health. This is primarily a coach role: you’ll spend a majority of your time on leadership, team enablement, and cross-functional strategy, with the opportunity to get hands-on with strategy and analysis for the most critical initiatives. You will lead product data science across our R&D organization, spanning both our member-facing and provider-facing experiences, with a focus on discovering growth opportunities through experimentation and enabling the broader R&D team to execute on them. You’ll help refine and operationalize our metric tree, with a particular focus on acquisition and activation across the full ecosystem of how members find care and how providers deliver it. Your work will help more people who need care successfully get into and stay in care long enough to get better, in line with our mission to remove all barriers to mental health.

• →Work with R&D leaders to set the vision for how product data science drives growth, especially in our acquisition and activation funnels. This includes how we use experimentation, causal inference, and behavioral analysis to identify and prioritize the most impactful opportunities.
• →Partner with Product, Design, and other R&D teams to refine and align on our metric tree, ensuring we are focused on the right measures of success and can clearly see the impact of our work.
• →Design and continuously refine how the product data science team operates within R&D: roles and responsibilities, collaboration models, team rituals, and how we partner with other data and R&D teams.
• →Manage and develop a team of data scientists supporting multiple areas within R&D. This includes 1:1s, performance reviews, feedback, and clear growth paths that build both technical and product/strategy skills.
• →Work with your team and cross-functional partners to design and maintain experimentation and measurement frameworks (e.g., clear hypotheses, guardrail metrics, success criteria) that can be reused across R&D and make it easier to run high-quality tests.
• →Collaborate with Data Analytics and Analytics Engineering to ensure that our metric tree and core growth KPIs are implemented consistently in our data models, documented clearly, and easily accessible across the company.

• Your team regularly identifies high-quality growth opportunities through experimentation and analysis, and partners with R&D to execute on them, leading to meaningful improvements in key product and member outcomes.
• Experimentation continues to grow as a core part of how R&D operates: tests are well-designed, results are clear and actionable, and learnings are documented and reused across teams.
• Your data scientists grow in both impact and independence: they are trusted partners to their stakeholders, they take on increasingly strategic work, and they help shape roadmaps rather than only responding to requests.

• You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you.
• You have substantial experience (typically 10+ years) working with data in analytics or data science roles, with a strong focus on product and/or growth for digital products.
• You have experience (typically 3+ years) experience managing and mentoring data scientists or product analysts, including responsibility for performance, career development, and hiring.
• You have deep experience using experimentation to drive growth: defining hypotheses and KPIs, designing and interpreting A/B tests and other experiments, and translating results into clear recommendations for product and business partners.
• You are comfortable owning and refining a metric tree / KPI hierarchy, and you can bring stakeholders together around shared definitions and measures of success.
• You are deeply fluent in growth thinking: you’re comfortable mapping acquisition and activation funnels, identifying friction points, and using tools like funnel analysis, cohort analysis, and growth loops to find and size opportunities.
• You have experience using modeling and causal inference (e.g., drivers analyses, uplift/propensity models) to identify what’s truly driving key metrics and where to focus experiments.
• You’re comfortable diving into SQL and Python code when needed to sanity-check data, review your team’s work, and give clear technical guidance.
• You have experience working with a modern data stack (for example, a cloud data warehouse, dbt, and a BI tool like Looker) and understand how good data modeling and a strong semantic layer enable consistent metrics.
• You have strong user and stakeholder empathy: you can understand the challenges facing R&D teams and translate them into data science projects and experimentation roadmaps that meaningfully improve how we get members into care.
• You are humble, highly motivated, and thrive in fast-paced, ambiguous environments. You see process and structure as tools to enable impact, not ends in themselves.

The target base salary range for this position is $195,000 - $214,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.