Lead Director – Artificial Intelligence, Machine Learning, Data Engineering

Vaga não está no LinkedIn

🕒 Julho 9

🦌 Connecticut – Remoto

🦌 Connecticut – Remote

💵 $144.200 - $288.400 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 55%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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CVS Health

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1963

🏥 Saúde

⚕️ Seguro de Saúde

🛒 Varejo

Healthcare • Healthcare Insurance • Retail

CVS Health é uma empresa líder de saúde nos Estados Unidos, dedicada a ampliar o acesso e a acessibilidade ao cuidado. A empresa adota uma abordagem abrangente que inclui serviços de saúde, seguro saúde e gestão de benefícios farmacêuticos (PBM). Por meio de suas subsidiárias, como Aetna e CVS Caremark, a CVS Health oferece uma variedade de serviços que promovem o bem-estar, a gestão de condições de saúde e a cobertura acessível de medicamentos prescritos. A CVS Health opera farmácias de bairro, oferece serviços de farmácia por correspondência e gerencia programas de medicamentos de especialidade, com o objetivo de tornar o cuidado com a saúde conveniente e acessível para todos. Movida pela missão de conectar pessoas a serviços essenciais de cuidado, a CVS Health está comprometida em fomentar comunidades mais saudáveis e apoiar o bem-estar de todas as pessoas.

Descrição

• Lead the strategy, architecture, and delivery of enterprise AI platform capabilities, including RAG, GraphRAG, vector search, MCP servers, memory and context services, reusable agents, model lifecycle management, and developer enablement accelerators • Lead the strategy, development, and operation of reusable data products and enterprise data engineering capabilities, including data ingestion, transformation, quality, metadata management, lineage, feature engineering, and data services • Establish enterprise standards and operational practices for platform reliability, observability, infrastructure automation, security, privacy, compliance, model governance, responsible AI, risk management, disaster recovery, capacity planning, and audit readiness • Partner with Architecture, Cybersecurity, Infrastructure, Product, Data, and Business leaders to guide technology strategy, evaluate emerging technologies, define enterprise standards, optimize investments, reduce duplication, and accelerate AI and data modernization initiatives • Build, lead, and develop high-performing teams of Engineering Managers, Data Engineers, AI Engineers, Platform Engineers, and Operations Engineers • Foster a culture of innovation, accountability, continuous learning, inclusion, operational excellence, and measurable business impact

🎯 Requisitos

• 10+ years of experience in software engineering, data engineering, artificial intelligence, machine learning, platform engineering, or related engineering disciplines, including designing and delivering enterprise-scale technology solutions • 7+ years of experience building and leading large-scale platform engineering organizations responsible for enterprise AI/ML platforms, data platforms, products, and technology delivery • 7+ years of hands-on experience building and scaling AI/ML platforms, DevSecOps, MLOps, LLMOps, deployment automation, security engineering, and platform operations supporting mission-critical workloads • 7+ years of experience designing and operating secure cloud-native platforms within highly regulated environments, including privacy, security, governance, compliance, identity management, audit controls, risk management, and operational resilience • 5+ years of experience leading and developing high-performing engineering organizations, including Engineering Managers and senior technical professionals, while building enterprise Data Engineering capabilities, including large-scale data ingestion, batch and streaming architectures, data governance, and reusable data products • Experience leading enterprise AI, Machine Learning, Data Platform, Platform Engineering, or Developer Platform organizations within healthcare, retail, financial services, technology, or other highly regulated industries • Experience building and governing enterprise AI platforms utilizing Retrieval-Augmented Generation (RAG), GraphRAG, vector databases, foundation models, agentic architectures, MCP frameworks, and responsible AI capabilities • Demonstrated success managing technology investments, platform portfolios, operating models, financial accountability, strategic vendor relationships, and executive stakeholder engagement • Experience supporting large-scale platform modernization initiatives involving cloud-native architectures, platform engineering, developer enablement, enterprise data platforms, and AI/ML transformation programs • Experience leveraging AI-powered engineering tools such as Claude, Claude Code, GitHub Copilot, Microsoft Copilot, and similar technologies • Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience) • Candidates must reside within the United States

🏖️ Benefícios

• CVS Health bonus, commission or short-term incentive program • Award target in the company’s 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