Lead Director – Data Engineering

Job not on LinkedIn

🕒 May 28

🏛️ District of Columbia, New York, +2 more states – Remote

🏛️ District of Columbia – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – 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

• 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

• 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

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