# Director, Revenue Analytics & AI Innovation at Spring Health

- Company: Spring Health
- What the company does: Eliminating barriers to mental healthcare. Clinically-proven technology with world-class providers to deliver precisely what your employees need.
- Company website: https://www.springhealth.com
- Type: Startups (AI role)
- Level: Principal and up
- Location: New York (Hybrid)
- Work setup: Hybrid
- Pay: $196K to $248K base salary per year (USD)
- Posted: 2026-07-14
- Apply by: 2026-10-12
- Apply: https://job-boards.greenhouse.io/springhealth66/jobs/4715281005
- Page: https://www.1752.vc/careers/jobs/spring-health-director-revenue-analytics-and-ai-innovation/

## About the role

The target base salary range for this position is $196,000 - $247,940 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.

## What they're looking for

- Architect and own the unified semantic and data layer that underpins Revenue Operations — the single source of truth connecting Sales, Marketing, Customer Success, and Finance data
- Define and drive the AI transformation strategy for Revenue Operations, identifying where AI and automation can meaningfully 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
- Design and maintain core data models, pipelines, and analytics products that deliver actionable insight across the revenue organization — from individual contributors to executives
- Partner closely with the Systems and Strategy & Operations teams to ensure data architecture, tooling, and process are tightly aligned across RevOps
- Evaluate, pilot, and deploy AI tools and vendors, staying ahead of the fast-moving AI landscape and translating emerging capabilities into practical, high-value use cases

Tags: Sales