[Hiring] Lead Director, AI/ML & Data Engineering @CVS Health

Role Description

CVS Health is hiring a Lead Director, AI/ML & Data Engineering to build and scale enterprise AI/ML capabilities that deliver reliable, responsible, and secure AI‑powered platforms and solutions at Fortune 5 scale. Our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.

This role is foundational to enabling AI adoption across CVS Health. The organization is responsible for enterprise‑scale AI/ML platforms that support mission‑critical workloads across the company.

Reporting to the Executive Director, this leadership role is accountable for building and operating Data Engineering and AI/ML Engineering disciplines that enable enterprise AI/ML delivery at scale. You will lead product‑oriented engineering teams delivering reusable data products, AI platforms, and accelerators used across the enterprise.

This is a U.S.-based REMOTE position; candidates must reside within the United States.

Qualifications

• 10+ years of experience in software and/or data engineering, including large‑scale platform delivery; 5+ years leading managers and cross‑functional teams.
• Deep expertise in full‑stack and platform engineering in large‑scale, multi‑cloud environments.
• Advanced data engineering experience, including batch and streaming processing, data quality, metadata/lineage, and platform‑scale storage and query patterns.
• 8+ years building and operating Data Engineering, AI Engineering, DevOps, and MLOps capabilities supporting multiple product teams and mission‑critical workloads.
• Expert‑level knowledge of DevSecOps, MLOps, LLMOps, and GenAIOps operating models, tooling, and control planes (e.g., model registries, pipeline orchestration, deployment, monitoring).
• Extensive experience with secure cloud and hybrid platforms, Kubernetes, infrastructure‑as‑code, and enterprise identity and access management.
• 5+ years of experience operating in regulated environments with strong security, privacy, and audit requirements.

Requirements

• Build and scale enterprise data ingestion, transformation, and quality frameworks to support AI/ML use cases across IT operations, security, and business functions.
• Deliver reusable datasets, feature pipelines, and data products with strong metadata, lineage, privacy, and compliance controls.
• Partner with enterprise data, governance, and security teams to align stewardship models, data access patterns, and PHI/PII protections.
• Define and maintain data engineering standards, reference architectures, and operational playbooks.
• Translate enterprise AI needs into scalable platform capabilities and reusable components (e.g., RAG frameworks, vector search services, evaluation harnesses, prompt libraries, reusable agents, model registries, and monitoring dashboards).
• Lead and mature DevSecOps practices for AI/ML, embedding security, automation, and compliance across the AI lifecycle.
• Drive cross‑functional alignment across security, infrastructure, architecture, and application teams to accelerate adoption and reduce duplication.
• Conduct technology assessments and proofs of concept to evaluate models, cloud services, and technical approaches.
• Establish and operate enterprise MLOps, LLMOps, and GenAIOps platforms, including CI/CD for models and prompts, deployment automation, observability, and lifecycle governance.
• Own platform reliability and performance for model serving and AI application runtimes, including SLIs/SLOs, capacity planning, and on‑call readiness.
• Standardize production controls such as model versioning, canary deployments, rollback strategies, policy enforcement, and audit‑ready change management.
• Recruit, retain, and develop high‑performing engineering managers and senior individual contributors.
• Build clear career paths and foster a culture of continuous learning and engineering excellence.

Benefits

• 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.

Company Description

Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world.

• We strive to promote and sustain a culture of diversity, inclusion and belonging every day.
• CVS Health is an affirmative action employer and an equal opportunity employer.
• We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
• We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.