Director of Revenue Analytics & AI Innovation

Join Spring Health, a leading mental health benefit for employers. As the Director of Revenue Analytics & AI Innovation, you will be responsible for building the unified data models and AI transformation strategy that power decisions across the organization. This is a full-time, fully remote role leading a small, highly technical team. You will partner closely with the Systems and Strategy & Operations teams to ensure data architecture, tooling, and process are aligned across Revenue Operations.

• Architect and own the unified semantic and data layer that underpins Revenue Operations, connecting Sales, Marketing, Customer Success, and Finance data.
• Define and drive the AI transformation strategy for Revenue Operations, identifying where AI and automation can improve GTM efficiency, forecasting, and decision-making.
• Build and lead a small, highly technical team of data/analytics engineers, operating as a true player-coach who still writes code and ships models personally.
• Proven experience designing and owning semantic and data models that serve multiple stakeholders, from analytics and BI to AI use cases
• Strong, current knowledge of the AI vendor, tooling, and trends landscape, with the judgment to separate hype from real value
• A track record as a "player-coach" — someone who has built and led a small team while remaining deeply hands-on
• 10+ years of experience in data engineering, analytics engineering, or revenue/GTM analytics, including experience leading or building technical teams
• Deep hands-on expertise in data engineering and analytics engineering (e.g., SQL, dbt, modern data warehousing, ETL/ELT pipelines)
• Excellent communication skills, with the ability to translate technical work into business impact for individual contributors and executives alike
• Experience partnering closely with Revenue/GTM systems and strategy & operations functions
• A scrappy, fast-moving builder mentality — comfortable shipping v1 solutions quickly and iterating
• Demonstrated experience leading AI adoption or AI-enabled transformation within a GTM or Revenue organization
• Experience in a high-growth SaaS or healthtech environment
• Familiarity with modern AI/ML tooling (LLM-based agents, copilots, automation platforms) applied to go-to-market use cases
• Prior experience at a company undergoing significant data infrastructure modernization
• Hands-on experience with tools such as Salesforce, Clay, Snowflake or BigQuery, dbt, Looker or Tableau, and Python
• Experience with B2B2C customers
• Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply