Lead Director, AI/ML & Data Engineering Job at CVS Health (Work at Home)

Job 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. 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.

Job Responsibility

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

Requirements

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

Nice to have

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

What we offer

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Bonus, commission or short-term incentive program
Equity award program

CVS Health - All Job Offers

Select Country

Lead Director, AI/ML & Data Engineering

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

Lead Director, AI/ML & Data Engineering

Sr. Director, Software Engineering (Big Data, AI/ML)

Director Engineering - AI/ML

Director, Data Engineering

Director SW Engineering (ML Engineering and Platform)

Sr Director, Data & AI

Director, Data Science

Engineering Director, AI Solutions and Automation (ASA)-AI Product Acceleration

Director, Data Analytics & Governance

Our AI answers in your language