Director, Revenue Analytics & AI Innovation

Spring Health•New York, NY

1d•$196,000 - $247,940•Remote

About The Position

Our mission: eliminating every barrier to mental health. 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. 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. 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. Reporting to the VP, Revenue Operations and partnering closely with our Systems and Strategy & Operations teams, the Director, Revenue Analytics & AI Transformation will serve as the semantic layer of our AI-native RevOps organization. This role will be responsible for building the unified data models and AI transformation strategy that power decisions from individual contributors to the executive team. This is a full-time, fully remote role leading a small, highly technical team as a hands-on player-coach. NYC is preferred for this role, but we are open to considering remote candidates. Travel is limited, with occasional trips (approximately quarterly) for team and company offsites.

Requirements

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).
Proven experience designing and owning semantic and data models that serve multiple stakeholders, from analytics and BI to AI use cases.
Demonstrated experience leading AI adoption or AI-enabled transformation within a GTM or Revenue organization.
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.
Experience partnering closely with Revenue/GTM systems and strategy & operations functions.
Excellent communication skills, with the ability to translate technical work into business impact for individual contributors and executives alike.
A scrappy, fast-moving builder mentality — comfortable shipping v1 solutions quickly and iterating.

Nice To Haves

Experience with B2B2C customers
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.
Hands-on experience with tools such as Salesforce, Clay, Snowflake or BigQuery, dbt, Looker or Tableau, and Python
Prior experience at a company undergoing significant data infrastructure modernization.

Responsibilities

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.
Establish data governance, quality standards, and documentation practices that scale as the organization grows.
Build executive-ready dashboards and analyses that inform revenue strategy and company-wide reporting.
Champion a "build fast, iterate faster" culture — rapidly prototyping and deploying solutions rather than waiting for a long, perfect build cycle.
Serve as a thought partner to Revenue leadership on how AI and modern data infrastructure can reshape the future of go-to-market operations.

Benefits

Health, Dental, Vision benefits start on your first day at Spring.
Access to One Medical accounts
HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
Employer sponsored 401(k) match of up to 2% for retirement planning
A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
Competitive paid time off policies including vacation, sick leave and company holidays.
Parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
Access to Noom, a weight management program
Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
Up to $1,000 Professional Development Reimbursement a year.
$200 per year donation matching to support your favorite causes.