# Enzo Tech Group — VP of Data & AI

- Generated: 2026-10-02 11:47:36 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/vp-of-data-ai-at-enzo-tech-group-4474730319
- Provider: LinkedIn
- Posted: 4 hours ago at capture time
- Elapsed since posting: about one day from LinkedIn relative timestamp
- Applicants: 91 applicants
- Work model/location: Remote — United States. Verified from the canonical LinkedIn listing location and role-specific JD headline: "VP of Data & AI | Fortune 500 Healthcare | Remote."
- Compensation: Up to ~$495K base plus executive package
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: PASS — 86%
- Keyword coverage: 20/23 (87.0%); missing: healthcare analytics, regulated healthcare, senior leaders

## Direct-match strengths

Strong match for enterprise Data & AI strategy, AI transformation, AI governance, regulated healthcare/privacy controls, cloud data-platform modernization, executive stakeholder alignment, team building, and measurable business impact from AI investment.

## Hard or material gaps

The end employer is unidentified beyond a Fortune 500 healthcare client represented by Enzo Tech Group. Keith's demonstrated team sizes are smaller than a likely Fortune 500 enterprise Data & AI organization, and direct ownership of clinical healthcare data/analytics at that scale is not documented.

## Evidence map

Weighted score: 61/72 = 84.7%.
1. Enterprise Data & AI strategy and roadmap ownership (weight 3, evidence 3/3) — Defined AI strategy, product vision, architecture, delivery roadmap, and commercialization plan at IDW; advised 120+ AWS AI/ML customers.
2. Build and scale Data Engineering, Analytics, and AI teams (weight 3, evidence 2/3) — Recruited and technically led 11 AI engineers at IDW, directed an eight-engineer SuccessKPI team, and guided an 18-person NorthBay platform team.
3. Generative AI, advanced analytics, and AI adoption (weight 3, evidence 3/3) — Built AssistX with LLMs, RAG, agents, LangChain/LangGraph, evaluation, and 70+ automations across 20+ workflows.
4. Enterprise data platforms, cloud infrastructure, and architecture (weight 3, evidence 3/3) — Delivered AWS data lakes, cloud platforms, APIs, Neptune knowledge graphs, distributed data systems, and production SaaS architecture.
5. Governance, security, Responsible AI, and regulated environments (weight 3, evidence 3/3) — Led MassMutual AI governance/privacy implementation and built IDW controls for evaluation, observability, prompt safety, human review, and auditability.
6. Clinical, operational, and business stakeholder partnership (weight 2, evidence 2/3) — Direct healthcare and life-sciences software evidence plus business stakeholder alignment at TriMark, AWS, MassMutual, NorthBay, and IDW.
7. Measurable business impact and ROI from Data & AI (weight 3, evidence 3/3) — IDW 50x workflow acceleration, TriMark reporting reduced from two months to one day, and repeatable AWS customer advisory outcomes.
8. Senior leader development and organizational capability (weight 2, evidence 2/3) — Built engineering teams, trained 180+ AWS solution architects, created 170+ enablement assets, and mentored engineers in AI delivery.
9. Large Fortune 500 healthcare Data & AI organization scale (weight 2, evidence 1/3) — Adjacent executive advisory and regulated-healthcare evidence; exact enterprise healthcare Data & AI organization scope is not claimed.

## Full normalized job description

VP of Data & AI | Fortune 500 Healthcare | Remote
My client, a leading Fortune 500 healthcare provider, is seeking a
VP of Data & AI to lead the strategy, growth and evolution of Data, Analytics and AI across a large, highly regulated healthcare environment.
This is a highly visible executive leadership role responsible for scaling Data & AI capabilities, modernising enterprise data platforms and driving measurable impact across clinical, operational and business functions.
You will work at the intersection of Data, AI, Technology and business strategy, shaping how data and intelligent technologies support better decision-making, operational performance and patient outcomes.
What You’ll Do
• Define and execute the enterprise Data & AI strategy
• Build, scale and lead high-performing Data Engineering, Analytics and AI teams
• Drive adoption of AI, Generative AI and advanced analytics across the organisation
• Modernise and scale enterprise data platforms and cloud infrastructure
• Partner with Technology, Product, Operations and business leadership to align Data & AI investment with strategic priorities
• Use Data & AI to improve operational efficiency, decision-making and patient outcomes
• Establish operating models, governance and standards across Data & AI
• Ensure responsible and secure use of data within a highly regulated healthcare environment
• Develop senior leaders and build the organisational capability required for continued growth
• Shape the long-term roadmap for enterprise data platforms, analytics and AI capabilities
• Drive measurable business impact and ROI from Data & AI investment
What We’re Looking For
• Senior executive leadership experience across Data, Analytics and AI
• Proven track record of building and scaling large, high-performing Data & AI organisations
• Experience leading enterprise Data & AI transformation within a large, complex organisation
• Strong understanding of modern cloud data platforms, analytics and AI technologies
• Experience modernising enterprise data platforms and driving AI adoption at scale
• Strong understanding of data governance, security and responsible AI within regulated environments
• Track record of developing senior leaders and scaling organisational capability
• Ability to operate effectively across Technology, Product, Operations and business functions
• Exceptional executive communication and stakeholder management skills
Technologies & Areas You’ll Work With
Data Engineering • Artificial Intelligence • Generative AI • Machine Learning • Advanced Analytics • Cloud Data Platforms • Data Architecture • Data Governance • MLOps • Data Security • Healthcare Analytics • Enterprise Data Platforms • Responsible AI
Details
Client:
Fortune 500 Healthcare Provider
Position:
VP of Data & AI
Job Type:
Full Time
Compensation:
Up to
~
$495K Base + Executive Package

## Artifact metadata

- Resume: https://bit.ly/3VfsV8K
- Cover letter: https://bit.ly/4hFzCbE
- Validation: PASS — 2-page resume (1047 words), 1-page cover letter (250 words); PDF geometry, bounds, annotations, links, visual pages, and keyword coverage verified.
- Google Drive used: No