springhealth66
Vice President, AI Transformation
At a Glance
- Location
- New York (Hybrid); San Francisco, CA (Hybrid)
- Experience
- 12+ years
- Compensation
- ry range for this position is $287,500 - $332,000, and is part of a competitive
- Posted
- 2026-03-19T14:41:36-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Clinical
- Engineering
- Finance
- Healthcare
Requirements
12+ years of experience in technology, data, AI, or digital transformation roles.
5+ years of executive leadership experience driving enterprise-scale AI initiatives.
Proven track record of deploying AI solutions that deliver measurable business impact, including cost savings or productivity gains.
Experience operating in high-growth, late-stage startup or scaled technology company environments.
Experience working in regulated industries, with healthcare experience strongly preferred.
Deep understanding of generative AI, LLM applications, agentic systems, machine learning lifecycle, MLOps, and automation frameworks.
Compensation & Benefits
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
Responsibilities
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.