Lead Director AI Platform Enablement Automation

CVS Health

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Northbrook, ILRichardson, TX
Salary
$144,200–$288,400 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today
Closes
Dec 31, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $225k
This role $216k
$127k $306k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $185,000–$264,750 — the blue band above. At the midpoint, this role pays about $216k versus about $225k 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 114 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 109 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Lead Director AI Platform Enablement Automation

The Lead Director AI Platform Enablement Automation leads Integration Engineering with end-to-end ownership across PS and PCW lines of business. This role oversees engineering teams to ensure scalable, high-quality delivery by embedding AIOps and automation across product and operational lifecycles. Key responsibilities include overseeing AI assisted development, release quality, and proactive incident management through predictive analytics and anomaly detection. The position manages modernization initiatives like API modernization and platform migration while providing strategic leadership on budgeting, roadmaps, and vendor partnerships. The role utilizes cloud-native technologies including Azure, AWS, and GCP, alongside API-based service orchestration. Technical requirements include expertise in AI/ML, Large Language Models, CI/CD pipelines, and agile methodologies. The work focuses on solving technical debt and improving operational efficiency within pharmacy and consumer wellness domains.

What you'll do

  • Lead end-to-end delivery of integration engineering solutions for Pharmacy and Consumer Wellness lines of business.
  • Oversee engineering teams operating on legacy middleware and modern cloud platforms including Azure, AWS, and GCP.
  • Drive modernization and automation initiatives by identifying opportunities for AI integration and API modernization.
  • Manage annual budgeting, capital processes, and executive-level reporting on ROI and key performance indicators.
  • Own the execution of quality assurance processes for AI model validation and automated testing frameworks.
  • Develop technical roadmaps, delivery plans, and standardized engineering practices to reduce technical debt.
  • Manage onshore and offshore vendor partnerships and lead recruitment for full-time and contract roles.
  • Drive skills transformation by creating upskilling plans focused on cloud, automation, and AI technologies.

What we're looking for

  • 10+ years of information technology leadership experience across various platforms.
  • 10+ years of experience translating complex testing and automation strategies into measurable business outcomes.
  • 5+ years of experience leveraging AI technologies and development, testing, and automation techniques in a high-performance Agile environment.
  • 5+ years of experience in cloud-native environments, including Azure, GCP and AWS.
  • 4+ years of hands-on development experience across multiple technology platforms.
  • Executive-level communication skills with the ability to articulate strategic concepts effectively to diverse stakeholders (preferred).
  • Background in healthcare and Pharmacy Benefit Management (PBM) (preferred).
  • Experience with Kafka, APIM, and Kong platforms (preferred).
  • Hands-on experience with Large Language Models (LLMs) and their practical application in software modernization, code generation, or refactoring initiatives (preferred).
  • Bachelor’s degree or equivalent experience (Highschool diploma plus 4 years relevant work experience).

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