Director, Revenue Analytics – AI Innovation

Spring Health; New York (NY); On-site; USD 196,000 - 247,940; Full time

Benefits offered by this job

Health, Dental, Vision benefits

401(k) match

Parental leave

Professional development reimbursement

Job summary

Spring Health is seeking a Director of Revenue Analytics & AI Transformation to own the unified data model powering RevOps across Sales, Marketing, Customer Success, and Finance. This hands-on leader will build a small, expert team, ship AI-enabled analytics, and partner with Systems and Strategy & Operations to align data tooling and processes.

You will drive AI strategy, architect data models, and deliver executive dashboards, enabling faster, data-driven decisions in a fast-growing SaaS

Qualifications

• 10+ years of experience in data engineering, analytics engineering, or revenue/GTM analytics.
• Experience leading or building technical teams.
• Hands-on experience with SQL, dbt, modern data warehousing, and ETL/ELT pipelines.
• Designing semantic and data models for multiple stakeholders (analytics, BI, AI).
• Leading AI adoption or transformation within GTM or Revenue organizations.
• Strong knowledge of AI tooling and trends; ability to separate hype from value.
• Proven track record as a player-coach, leading teams while remaining hands-on.
• Experience partnering with Revenue/GTM systems and Strategy & Operations.

Responsibilities

• Architect and own the unified semantic and data layer for RevOps data.
• Define and drive the AI transformation strategy for Revenue Operations.
• Build and lead a small, technically strong team; write code and ship models.
• Design and maintain data models, pipelines, and analytics products.
• Ensure data architecture and tooling align across RevOps with other teams.
• Evaluate, pilot, and deploy AI tools and vendors in business use cases.
• Establish data governance and documentation practices at scale.
• Create executive-ready dashboards and analyses for revenue strategy.
• Foster a fast, iterative build culture in the team.
• Partner with Revenue leadership on AI-enabled GTM transformations.

Skills

Data engineering

Analytics engineering

SQL

dbt

Data warehousing

AI adoption

Leadership

Communication

Hands-on coding

Tools

Salesforce

Clay

Snowflake

BigQuery

dbt

Looker

Tableau

Python

Job description

New York (Hybrid)

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 off‑sites.

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.

Target base salary range: $196,000 – $247,940. This 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.

Benefits provided by Spring Health

Note: We have even more benefits than listed here 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 accounts. HSA and FSA plans are also available, with Spring contributing up to $1,000 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, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
• 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.

If you do not 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.

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.