Lead Director, AI/ML Engineering

Position Summary Lead Director of Data Analytics and AI/ML Engineering at CVS Health®. Owns a high‑impact portfolio of Data, AI, and ML products driving CVS Retail Pharmacy Growth, Store Operations, and Profitability Analytics and AI Engineering. The role sits at the intersection of technology and product delivery, leading architecture, driving execution, growing a high‑performing team, and engaging senior stakeholders across Data Science, Business, and Technology organizations. The incumbent advances CVS Health’s AI strategy from enterprise LLM adoption to purposeful, agentic automation, delivering scalable solutions that measurably improve operations and health outcomes across the lines of business. Job Duties Portfolio Ownership & Business Impact Own a Data, AI/ML product portfolio spanning Growth and Pharmacy Store Operations, delivering insights that advance CVS Health’s mission of helping people on their path to better health. Define and drive the technical roadmap, balancing bold innovation with agile delivery, operational stability, and reliability at enterprise scale. AI Strategy Define and lead the AI roadmap, architecting the strategic shift from general‑purpose LLM deployment to intelligent, agentic automation that drives measurable operational and health outcomes. Lead the shift from rule‑based process to AI and agent‑based orchestration, enabling intelligent, autonomous workflows across CVS Health’s lines of business. Spearhead adoption and scaling of the Claude Skills Framework, establishing governance, design standards, and reusable patterns for consistent, enterprise‑wide AI skill development. Design and oversee modular Claude Skill modules (SKILL.md, YAML metadata, execution scripts) to automate high‑impact business processes including pharmacy reporting and code deployment workflows. Champion progressive disclosure strategies for LLM context optimization—mapping specialized Claude Skills to targeted triggers to maximize precision, minimize latency, and deliver scalable enterprise value. Evaluate emerging agentic AI technologies and frameworks, translating innovations into actionable roadmap investments aligned with CVS Health’s strategic priorities. Technical Leadership Architect and oversee end‑to‑end development of Data and ML/AI products following CVS security principles. Establish engineering standards and best practices across MCP integrations and Claude Skills Framework development—ensuring consistency, reusability, and alignment with CVS Health’s security, data governance, and HIPAA compliance requirements. Lead hands‑on architecture reviews, technical design forums, and solution trade‑off discussions across Data Science, Engineering, and Technology teams. Lead end‑to‑end AI/ML pipeline integrity—from Claude Skills authoring and MCP server deployment through to production monitoring and continuous optimization. Ensure engineering standards are maintained across the portfolio—covering solution design, security, and Data/AI Ops practices. People & Delivery Leadership Drive agile delivery within CVS Health’s Squad model, managing dependencies across a matrixed environment and removing blockers to accelerate delivery. Coach and grow engineering leaders and senior individual contributors, building a strong internal talent pipeline that reflects CVS Health’s commitment to colleague development and inclusion. Stakeholder Partnership Serve as a trusted technology partner to senior stakeholders across Data Science, Business, and Enterprise Technology teams. Translate complex technical concepts—such as agentic AI architectures, MCP integrations, Claude Skills Framework, and LLM optimization strategies—into clear, business‑relevant narratives for executive and non‑technical audiences. Security, Compliance & Data Governance Ensure all data interactions and AI‑driven workflows operate in strict adherence to CVS Health’s enterprise data governance policies, HIPAA requirements, authentication standards, and role‑based access controls. Partner closely with Information Security and Compliance teams to embed governance into every layer of the AI/ML platform. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. 10+ years of experience in technical roles within software engineering, data engineering, or analytics. 5+ years designing and building data and analytics solutions, including Data/ML pipelines, products, or decision systems at scale. 5+ years deploying cloud‑native applications on Azure, GCP, or AWS, with working knowledge of modern Data & AI Ops patterns. 3+ years leading and growing engineering teams delivering complex, production‑grade analytical systems. Demonstrated ability to engage in technical architecture and design conversations, including trade‑off analysis and solution design. Hands‑on experience with MCP server development, Claude Skills Framework, LLM integration, or agentic AI frameworks applied to enterprise workflows. Experience operating in agile delivery frameworks (Scrum, Squad model, or equivalent). Experience in CI/CD and DataOps practices. Strong executive communication skills with demonstrated ability to influence senior stakeholders across technical and business teams. Education: Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master’s degree preferred. Preferred Qualifications Familiarity with open-source ML orchestration frameworks (e.g., Kubeflow, MLflow, Airflow) and model lifecycle management. Experience with Claude AI Skills engineering (SKILL.md, YAML metadata, execution scripts) or Agent Orchestration frameworks such as LangChain, LangGraph, or equivalent. Background in Retail or health care context. Exposure to prompt engineering, system instruction authoring, and natural language workflow tuning for enterprise AI platforms. Data platforms: Snowflake or BigQuery. Exposure to Databricks, Dataproc, or equivalent. Advanced degree (Master's or PhD) in a business, quantitative, or technical discipline. Pay Range Typical pay range for this role is: $144,200.00 - $288,400.00. The base salary offer will depend on experience, education, geography, and other factors. Benefits Comprehensive benefits package: medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources based on eligibility. EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr 9025 CVS Shared Services Resources LLC