Lead Director - Data Engineering

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 SummaryAs Lead Director of Analytics Engineering, you will own a high-impact portfolio of Data, AI, and ML products driving Personalization and Marketing across our Front Store business. This role sits at the intersection of technology and product delivery. You will lead and participate in architecture and design sessions while driving execution, growing a high-performing team, and influencing senior level stakeholders across Data Science, Business, and Technology organizations. You will play a central role in driving our shift from legacy, manual rules based executions toward AI-driven, agent-based personalization at scale. The ideal candidate will be a seasoned engineering leader with technical depth in Data, AI/ML, and cloud-native development in addition to a proven track record of shipping analytically complex products that create value.Job DutiesPortfolio Ownership & Business ImpactOwn a Data, AI/ML product portfolio spanning Personalization and MarketingDefine and drive the technical roadmap, balancing innovation, and agile delivery with operational stability and reliabilityAI-Driven TransformationLead the strategic shift from rule-based campaigns to AI and agent-based orchestrationOversee full-scale AI/ML & Data pipelines including deep-learning models and optimization capabilitiesTechnical LeadershipLead architecture reviews, design forums, and technical sessions across Data Science, Engineering, and Technology teamsEnsure engineering standards are maintained across the portfolio - covering solution design, security, and Data, AI Ops practicesPeople & Delivery LeadershipDrive 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 pipelineStakeholder PartnershipServe as a trusted partner to Senior stakeholders across Data Science and Business teamsTranslate complex technical concepts into clear, business-relevant narratives for Executive and non-technical audiencesRequired Qualifications10+ years of experience in technical roles within software engineering, data engineering, or analytics5+ years designing and building data and analytics solutions, including Data/ML pipelines, products or decision systems at scale5+ years deploying cloud-native applications on Azure, GCP, or AWS, with working knowledge of modern Data & AI Ops and patterns5+ years leading and growing engineering teams delivering complex, production-grade analytical systemsDemonstrated ability to engage in technical architecture and design conversations, including trade-off analysis and solution designExperience operating in agile delivery frameworks (Scrum, Squad model, or equivalent)Strong executive communication skills with experience influencing senior stakeholders across technical and business teamsPreferred QualificationsFamiliarity with open-source ML orchestration frameworks (e.g., Kubeflow, MLflow, Airflow) and model lifecycle managementBackground in personalization, marketing technology, or recommendation systems in a consumer-facing contextExposure to AI agent frameworks or LLM-based automation applied to business workflowsAdvanced degree (Master's or PhD) in a business, quantitative or technical disciplineEducationBachelor's degree in Computer Science, Information Technology, Engineering, or a related fieldPay RangeThe typical pay range for this role is:$144,200.00 - $288,400.00This 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 peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing 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: 06/04/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.