Description

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.

POSITION SUMMARY

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.

Within the Solutions Engineering and Infrastructure organization, 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.

PRIMARY DUTIES AND RESPONSIBILITIES

Data Engineering & Feature Enablement

• 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.

AI Engineering & DevSecOps

• 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.

MLOps / LLMOps & Platform Operations

• 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.

People Leadership

• 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.

REQUIRED QUALIFICATIONS

• 10+ years of software and/or data engineering experience delivering large-scale platforms, including 5+ years leading managers and cross-functional teams.
• 8+ years' experience in full-stack and platform engineering across large-scale, multi-cloud environments.
• 8+ years' experience in data engineering experience across batch + streaming, data quality, metadata/lineage, and platform-scale storage/query patterns.
• 8+ years building and operating Data Engineering, AI Engineering, DevOps, and MLOps capabilities supporting multiple product teams and mission-critical workloads.
• 8+ years in DevSecOps, MLOps, LLMOps, and GenAIOps, plus 5+ years in regulated environments with strong security, privacy, and audit requirements (secure cloud/hybrid, Kubernetes, infrastructure-as-code, and enterprise IAM).

PREFERRED QUALIFICATIONS

• Proven ability to lead product‑oriented platform teams and manage roadmaps, dependencies, and executive stakeholders.
• Experience managing budgets and vendor relationships for platform tooling, data services, and managed model or service providers.
• Experience establishing operating rhythms, performance metrics, and transparent reporting for delivery, platform health, and cost.
• Excellent written and verbal communication skills, with the ability to clearly articulate technical risk, cost, and value to senior leadership.

EDUCATION

Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

BUSINESS OVERVIEW

Bring your heart to CVS Health 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. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. 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.

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. 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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

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. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 06/30/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.