Note: The job is a remote job and is open to candidates in USA. CVS Health is a healthcare organization focused on delivering a more connected, convenient, and compassionate health experience. The Lead Director will build and operate enterprise AI, machine learning, data engineering, and platform capabilities, while establishing governance and operational standards for secure, reliable, and responsible adoption at scale. The role also leads large engineering teams and partners with business and technology leaders on AI and data modernization.
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
Skills
- 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, DevSecOps, MLOps, LLMOps, deployment automation, security engineering, and platform operations supporting mission-critical workloads
- 7+ years of experience designing and operating secure cloud-native platforms within highly regulated environments, including privacy, security, governance, compliance, identity management, audit controls, risk management, and operational resilience
- 5+ years of experience leading and developing high-performing engineering organizations, including Engineering Managers and senior technical professionals, while building enterprise Data Engineering capabilities, including large-scale data ingestion, batch and streaming architectures, data governance, and reusable data products
- Experience leading enterprise AI, Machine Learning, Data Platform, Platform Engineering, or Developer Platform organizations within healthcare, retail, financial services, technology, or other highly regulated industries
- Experience building and governing enterprise AI platforms utilizing Retrieval-Augmented Generation (RAG), GraphRAG, vector databases, foundation models, agentic architectures, MCP frameworks, and responsible AI capabilities
- Demonstrated success managing technology investments, platform portfolios, operating models, financial accountability, strategic vendor relationships, and executive stakeholder engagement
- Experience supporting large-scale platform modernization initiatives involving cloud-native architectures, platform engineering, developer enablement, enterprise data platforms, and AI/ML transformation programs
- Experience leveraging AI-powered engineering tools such as Claude, Claude Code, GitHub Copilot, Microsoft Copilot, and similar technologies to improve software development productivity, platform operations, engineering efficiency, and secure delivery practices
Benefits
- This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
- This position also includes an award target in the company’s equity award program.
- This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
- Medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
- Remote work arrangement
Company Overview