Vice President, AI Transformation
Spring HealthNew York (Hybrid); San Francisco, CA (Hybrid)$288k – $332kPosted 26 March 2026
Job Description
Our mission: to eliminate every barrier to mental health.
At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology,
Precision Mental Healthcare , empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.
We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a
net positive ROI
for employers and we are the only company in our category to earn
external validation
of net savings for customers.
We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.
We are looking for a visionary and execution-oriented Vice President, AI Transformation to lead enterprise-wide AI strategy and drive measurable business impact across our organization. As a late-stage, high-growth health technology company, we are focused on advancing AI from promising initiatives to scaled, value-generating capabilities across the organization.
Reporting to the CTO, this leader will operate at the intersection of technology, product, operations, clinical, finance, and data, ensuring AI initiatives deliver measurable ROI while maintaining regulatory compliance, security, and ethical AI standards. They will define and execute the company’s AI transformation roadmap
Please note that this is a hybrid role
based in New York City or San Francisco , with an expectation to be in office 2-3 days a week.
What you’ll do:
Define and execute a multi-year enterprise AI transformation strategy aligned to company growth objectives.
Identify and prioritize high-impact AI opportunities across operations, customer support, sales, marketing, finance, HR, and engineering.
Establish and operationalize an enterprise AI governance model, including pilot sequencing, scaling, and rollout.
Lead AI-driven automation initiatives to improve efficiency through copilots, workflow automation, and intelligent orchestration.
Develop and implement ROI frameworks to evaluate and prioritize AI investments based on measurable business value.
Partner with Product and Engineering to embed AI capabilities into member and provider-facing products.
Drive experimentation with generative and predictive AI to unlock new capabilities and competitive differentiation.
Lead enterprise-wide AI adoption, including building AI literacy programs and enabling cross-functional teams.
Establish centers of excellence and scalable frameworks to support AI enablement across the organization.
Partner with Data and Engineering to build scalable AI infrastructure, including MLOps, model lifecycle management, and vendor strategy.
What success looks like:
Measurable reduction in operating expenses through AI-driven automation.
Improved operational cycle times (e.g., onboarding, support resolution etc).
Increased enterprise productivity metrics.
AI embedded in core products driving measurable user and revenue impact.
Clear AI governance and responsible AI framework implemented company-wide.
Strong adoption and AI fluency across functions.
What you’ll bring:
12+ years of experience in technology, data, AI, or digital transformation roles.
5+ years of executive leadership experience driving enterprise-scal ... (truncated, view full listing at source)
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