Lead Director, AI/ML, Data Engineering

Job not on LinkedIn

🕒 April 18

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $144.2k - $288.4k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• 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 • Lead and mature DevSecOps practices for AI/ML • Drive cross-functional alignment across security, infrastructure, architecture, and application teams • Conduct technology assessments and proofs of concept to evaluate models, cloud services, and technical approaches • Establish and operate enterprise MLOps, LLMOps, and GenAIOps platforms • Own platform reliability and performance for model serving and AI application runtimes • 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

🎯 Requirements

• 10+ years of experience in software and/or data engineering • 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 • 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

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • other resources, based on eligibility