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CVS Health

Lead Director – Data Engineering

CVS Health

Lead Director of Analytics Engineering at CVS Health owning a Data, AI, and ML product portfolio. Engaging with senior stakeholders and leading AI-driven product delivery and team growth.

Posted 5/28/2026full-timeRemote • District of Columbia, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $144,200 - $288,400 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Own a Data, AI/ML product portfolio spanning Personalization and Marketing
  • Define and drive the technical roadmap, balancing innovation, and agile delivery with operational stability and reliability
  • Lead the strategic shift from rule-based campaigns to AI and agent-based orchestration
  • Oversee full-scale AI/ML & Data pipelines including deep-learning models and optimization capabilities
  • Lead architecture reviews, design forums, and technical sessions across Data Science, Engineering, and Technology teams
  • Ensure engineering standards are maintained across the portfolio - covering solution design, security, and Data, AI Ops practices
  • Drive agile delivery within the Squad model, managing dependencies across a matrixed environment, and removing blockers
  • Coach and grow engineering leaders and senior ICs and build a strong internal talent pipeline
  • Serve as a trusted partner to Senior stakeholders across Data Science and Business teams
  • Translate complex technical concepts into clear, business-relevant narratives for Executive and non-technical audiences

Requirements

What you’ll need
  • 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 and patterns
  • 5+ 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
  • Experience operating in agile delivery frameworks (Scrum, Squad model, or equivalent)
  • Strong executive communication skills with experience influencing senior stakeholders across technical and business teams.

Benefits

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

ATS Keywords

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Hard Skills & Tools
AIMLdata engineeringanalytics solutionsdata pipelinescloud-native applicationsdeep-learning modelsoptimization capabilitiessolution designtechnical architecture
Soft Skills
leadershipcoachingcommunicationinfluencingproblem-solvingcollaborationstrategic thinkingnarrative translationstakeholder engagementagile delivery