Lead Director – Artificial Intelligence, Machine Learning, Data Engineering

Job not on LinkedIn

🕒 July 9

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $144.2k - $288.4k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 55%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

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

• Lead the strategy, architecture, and delivery of enterprise AI platform capabilities, including RAG, GraphRAG, vector search, MCP services, reusable agents, model lifecycle management, and developer enablement accelerators • Lead development and operation of enterprise data engineering capabilities and reusable data products, including ingestion, transformation, quality, metadata management, lineage, feature engineering, and data services • Establish enterprise standards and operating frameworks for DevSecOps, MLOps, LLMOps, platform reliability, observability, infrastructure automation, security, privacy, compliance, responsible AI, model governance, disaster recovery, and operational resilience • Partner with Architecture, Cybersecurity, Infrastructure, Product, Data, and Business leaders to define technology strategy, evaluate emerging technologies, prioritize investments, establish standards, and accelerate modernization • Build, lead, and develop high-performing engineering organizations while fostering innovation, accountability, technical excellence, continuous learning, operational rigor, and measurable business impact • Report to the Executive Director

🎯 Requirements

• 10+ years delivering enterprise software engineering, platform engineering, data engineering, artificial intelligence, machine learning, or related technology solutions within large-scale environments • 7+ years building and leading platform engineering, AI/ML platform, enterprise data platform, or developer platform organizations • 7+ years designing, implementing, and scaling AI/ML platforms using MLOps, LLMOps, deployment automation, observability, platform security, and mission-critical production operations • 7+ years architecting and operating cloud-native platforms within highly regulated environments, including governance, privacy, security, compliance, identity management, audit controls, risk management, and resiliency practices • 5+ years leading Engineering Managers and senior technical professionals while developing enterprise data engineering capabilities, reusable data products, large-scale data processing architectures, and modernization initiatives • Leadership of enterprise AI, machine learning, data platform, platform engineering, developer platform, or infrastructure engineering organizations in healthcare, retail, financial services, technology, or other highly regulated industries • Demonstrated success building and governing enterprise AI platforms using RAG, GraphRAG, vector databases, foundation models, agentic AI architectures, MCP frameworks, and responsible AI capabilities • Proven track record managing technology investments, platform portfolios, operating models, financial accountability, strategic vendor relationships, and executive stakeholder engagement • Background supporting large-scale modernization initiatives involving cloud-native architectures, platform engineering, enterprise data platforms, developer enablement, and AI/ML transformation programs • Familiarity with AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, Claude, Claude Code, or similar technologies • Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)

🏖️ Benefits

• CVS Health bonus, commission or short-term incentive program • Equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being

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