Lead Director - Artificial Intelligence, Machine Learning and Data Engineering

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

CVS Health is seeking a visionary and execution-focused
Lead Director - Artificial Intelligence, Machine Learning and Data Engineering
to build, scale, and operate enterprise capabilities that enable secure, reliable, responsible, and business-driven adoption of artificial intelligence across one of the largest healthcare organizations in the world.

Within the Solutions Engineering and Infrastructure organization, this leader will play a critical role in establishing the foundational data, engineering, platform, governance, and operational capabilities required to deliver artificial intelligence and machine learning solutions at enterprise scale.

Reporting to the Executive Director, this leader will oversee teams responsible fordevelopingreusable data products,standingupplatformsand components to accelerateAI solution delivery,launchdeveloper enablementaccelerators,establish

Dev Sec Ops /MLOps/LLMOpsoperational standards andframeworksfordeploying and scaling agenticsystems. This role combines deep technical expertise with demonstrated success leading largeplatformengineering organizations, driving enterprise transformation, delivering platform excellence, and developing high-performing teams.

This is a U.S.

-based REMOTE position; candidates must reside within the United States.

PRIMARY DUTIES AND RESPONSIBILITIES

• Lead the strategy, architecture, and delivery of enterprise AI platform capabilities, including RAG, GraphRAG, vector search, MCP servers, memory and context services, reusable agents, model lifecycle management, and developer enablement accelerators that drive scalable AI/ML adoption.

• Lead the strategy, development, and operation of reusable data products and enterprise data engineering capabilities, including data ingestion, transformation, quality, metadata management, lineage, feature engineering, and data services that support AI, analytics, and business outcomes.

• Establish enterprise standards and operational practices for platform reliability, observability, infrastructure automation, security, privacy, compliance, model governance, responsible AI, risk management, disaster recovery, capacity planning, and audit readiness.

• Partner with Architecture, Cybersecurity, Infrastructure, Product, Data, and Business leaders to guide technology strategy, evaluate emerging technologies, define enterprise standards, optimize investments, reduce duplication, and accelerate AI and data modernization initiatives.

• Build, lead, and develop high-performing teams of Engineering Managers, Data Engineers, AI Engineers, Platform Engineers, and Operations Engineers while fostering a culture of innovation, accountability, continuous learning, inclusion, operational excellence, and measurable business impact.

• 10+ years of experience in software engineering, data engineering, artificial intelligence, machine learning, platform engineering, or related engineering disciplines, including designing and delivering enterprise-scale technology solutions.

• 7+ years of experience building and leading large-scale platform engineering organizations responsible for enterprise AI/ML platforms, data platforms, products, and technology delivery.

• 7+ years of hands‑on experience building and scaling AI/ML platforms, Dev Sec Ops , MLOps, LLMOps,…