CVS HealthRemote
Lead Director - Data Engineering
United States of America
Full Time
5 days ago
$144,000 - $288,000 USD
H1B Sponsor Likely
Key skills
Data EngineeringAI/ML Pipeline DevelopmentCloud-native Application DeploymentAzureGoogle Cloud Platform (GCP)Amazon Web Services (AWS)Data & AI OpsAgile DeliverySolution DesignScrumSquad ModelSecurity Best PracticesKubeflowMLflowAirflowModel Lifecycle ManagementPersonalization TechnologyRecommendation SystemsExecutive CommunicationStakeholder ManagementAIMLLLMAnalyticsAWSGCPAgileCommunication
About this role
CVS Health is building a world of health around every individual, emphasizing a connected and compassionate health experience. They are seeking a Lead Director of Analytics Engineering to lead a high-impact portfolio of Data, AI, and ML products, driving innovation and execution while influencing senior stakeholders.
Responsibilities:
- 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
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
- Familiarity with open-source ML orchestration frameworks (e.g., Kubeflow, MLflow, Airflow) and model lifecycle management
- Background in personalization, marketing technology, or recommendation systems in a consumer-facing context
- Exposure to AI agent frameworks or LLM-based automation applied to business workflows
- Advanced degree (Master's or PhD) in a business, quantitative or technical discipline