# Lead Director - Artificial Intelligence, Machine Learning and Data Engineering

**Company**: CVS Health
**Location**: Work from home, CT, CT
**Work arrangement**: remote
**Experience**: executive
**Job type**: full-time
**Salary**: $144,200.00 - $288,400.00
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/CT---Work-from-home/Lead-Director--AI-ML---Data-Engineering_R0885076?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/lead-director-artificial-intelligence-machine-7a25c348-2a2/

## Description

CVS Health is seeking a Lead Director - Artificial Intelligence, Machine Learning and Data Engineering to lead the strategy, delivery, and evolution of enterprise AI, data, and engineering capabilities. The successful candidate will drive the development of enterprise platforms, reusable data products, and engineering capabilities that enable the adoption of emerging technologies and data-driven solutions across the organization.

The Lead Director will oversee teams responsible for AI platforms, data engineering, developer enablement, and cloud-native engineering solutions. They will guide the delivery of capabilities including Retrieval-Augmented Generation (RAG), GraphRAG, vector search, agentic architectures, MCP services, model lifecycle management, and engineering accelerators that improve the speed, quality, and consistency of solution development.

The Lead Director will partner with Architecture, Cybersecurity, Infrastructure, Product, Data, and Business leaders to shape technology strategy, advance modernization efforts, and deliver measurable business outcomes. They will also build and develop high-performing engineering teams while fostering a culture of innovation, accountability, collaboration, and technical excellence.

Key responsibilities include:

- Leading the strategy, architecture, and delivery of enterprise AI platform capabilities

- Developing and operating enterprise data engineering capabilities and reusable data products

- Establishing enterprise standards and operating frameworks for DevSecOps, MLOps, LLMOps, platform reliability, observability, infrastructure automation, security, privacy, compliance, responsible AI, model governance, disaster recovery, and operational resilience

- Partnering with leaders to define technology strategy, evaluate emerging technologies, prioritize investments, establish enterprise standards, and accelerate AI and data modernization initiatives

- Building, leading, and developing high-performing engineering organizations

Requirements include:

- 10+ years of experience delivering enterprise software engineering, platform engineering, data engineering, artificial intelligence, machine learning, or related technology solutions

- 7+ years of experience building and leading platform engineering, AI/ML platform, enterprise data platform, or developer platform organizations

- 7+ years of experience designing, implementing, and scaling AI/ML platforms

- 7+ years of experience architecting and operating cloud-native platforms within highly regulated environments

- 5+ years of experience leading Engineering Managers and senior technical professionals

Preferred qualifications include:

- Leadership experience in healthcare, retail, financial services, technology, or other highly regulated industries

- Demonstrated success building and governing enterprise AI platforms

- Proven track record managing technology investments, platform portfolios, operating models, financial accountability, strategic vendor relationships, and executive stakeholder engagement

- Background supporting large-scale modernization initiatives

- Familiarity with AI-assisted engineering tools

The typical pay range for this role is $144,200.00 - $288,400.00 per year.

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Artificial Intelligence
- Machine Learning
- Data Engineering
- Cloud-Native Platforms
- DevSecOps
- MLOps
- LLMOps

### Nice to have
- Retrieval-Augmented Generation (RAG)
- GraphRAG
- vector search
- agentic architectures
- MCP frameworks
- responsible AI capabilities
- AI-assisted engineering tools

---

Source: [Apply at cvshealth.wd1.myworkdayjobs.com](https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/CT---Work-from-home/Lead-Director--AI-ML---Data-Engineering_R0885076?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)