This role pays less than
62%
of similar roles. Most pay
$207,371–$272,622
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$240k
for comparable roles.
Based on 240 similar postings.
Employer
About CVS Health
CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy
CVS Health currently has
88 open roles
on FindRole.
Listed pay typically runs
$118,450–$284,280
across 84 roles with salary data.
Lead Director - AI Governance Engineering will lead a lean engineering team focused on modernizing governance through automation by shifting from manual reviews to registration-driven workflows with built-in controls. The role involves building "governance-as-code" infrastructure, including platform-agnostic SDKs, APIs, and automated tools for risk classification, bias detection, and drift monitoring. You will develop unified intake systems for ML and Generative AI, integrate governance checks into CI/CD pipelines, and establish execution safety patterns for agentic automation. Key technical requirements include expertise in system architecture, Python, data platforms, and Git-based workflows. The position addresses the challenge of maintaining responsible AI guardrails while reducing cycle times in a regulated environment. You will collaborate with security and privacy partners to ensure automated compliance artifacts are generated for audit readiness across various AI use cases.
AI Governance
Responsible AI
Generative AI
Machine Learning
Large Language Models
Model Risk Management
Data Governance
Information Security
Risk Management
Regulatory Compliance
Workflow Automation
Analytics
Dashboards
Program Management
AI
Generative AI
GRC
Model Risk Management
Data Governance
Cybersecurity
Risk Management
Compliance
Policy Development
regulatory, compliance
Advanced Analytics
NCUA
CFPB
GLBA
AI
Machine Learning
GenAI
Data Science
Data Analytics
Model Lifecycle Management
Risk Assessment
Data Privacy
Statistical Computing
Data Visualization
Quality Assurance
Regulatory Compliance
FDA
EMA
ISO/IEC Standards
EU AI Act
Digital Health
Process Optimization