Director, Revenue Analytics & AI Innovation

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.

What you’ll do:

- 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.

What success looks like:

- Reduction in time-to-insight for revenue questions, measured by cycle time from request to delivered analysis.

- Adoption of unified data models and dashboards across Sales, Marketing, and Customer Success teams.

- Number of AI-driven use cases successfully piloted and deployed into production each quarter.

- Improved forecast accuracy and reporting consistency across the revenue funnel.

- Percentage of core revenue reporting migrated off manual/spreadsheet-based processes onto the unified data layer.

What you’ll bring:

- 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 have:

- 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.

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 https://springhealth.link/jd-2022-09-radfordcomp at minimum to ensure competitive and fair pay.

BENEFITS PROVIDED BY SPRING HEALTH:

Note: We have even more benefits than listed here https://www.springhealth.com/careers#:~:text=Our%20perks%20%26%20benefits and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

- Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical https://www.onemedical.com/membership/ 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.

- We offer competitive paid time off policies including vacation, sick leave and company holidays.

- At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.

- Access to Noom https://www.noom.com/, a weight management program—based in psychology, that’s tailored to your unique needs and goals.

- Access to fertility care support through Carrot https://springhealth.link/jd-2023-07-carrotbenefit, in addition to $4,000 reimbursement for related fertility expenses.

- Access to Wellhub https://springhealth.link/jd-2023-07-gympassbenefit, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription

- Access to BrightHorizons https://www.brighthorizons.com/, 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.