Lead Director, AI/ML, Data Engineering

Vaga não está no LinkedIn

🕒 Abril 18

🦌 Connecticut – Remoto

🦌 Connecticut – Remote

💵 $144.200 - $288.400 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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CVS Health

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1963

⚕️ Seguro de Saúde

🛒 Varejo

🧘 Bem-estar

Healthcare Insurance • Retail • Wellness

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

• Build and scale enterprise data ingestion, transformation, and quality frameworks to support AI/ML use cases across IT operations, security, and business functions • Deliver reusable datasets, feature pipelines, and data products with strong metadata, lineage, privacy, and compliance controls • Partner with enterprise data, governance, and security teams to align stewardship models, data access patterns, and PHI/PII protections • Define and maintain data engineering standards, reference architectures, and operational playbooks • Translate enterprise AI needs into scalable platform capabilities and reusable components • Lead and mature DevSecOps practices for AI/ML • Drive cross-functional alignment across security, infrastructure, architecture, and application teams • Conduct technology assessments and proofs of concept to evaluate models, cloud services, and technical approaches • Establish and operate enterprise MLOps, LLMOps, and GenAIOps platforms • Own platform reliability and performance for model serving and AI application runtimes • Standardize production controls such as model versioning, canary deployments, rollback strategies, policy enforcement, and audit-ready change management • Recruit, retain, and develop high-performing engineering managers and senior individual contributors

🎯 Requisitos

• 10+ years of experience in software and/or data engineering • 5+ years leading managers and cross-functional teams • Deep expertise in full-stack and platform engineering in large-scale, multi-cloud environments • Advanced data engineering experience, including batch and streaming processing, data quality, metadata/lineage, and platform-scale storage and query patterns • 8+ years building and operating Data Engineering, AI Engineering, DevOps, and MLOps capabilities supporting multiple product teams and mission-critical workloads • Expert-level knowledge of DevSecOps, MLOps, LLMOps, and GenAIOps operating models, tooling, and control planes • Extensive experience with secure cloud and hybrid platforms, Kubernetes, infrastructure-as-code, and enterprise identity and access management • 5+ years of experience operating in regulated environments with strong security, privacy, and audit requirements

🏖️ Benefícios

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