Teams at CVS Health

Supports Security and Infrastructure strategy and operations by managing executive presentations, SharePoint experiences, newsletters, leadership updates, and organizational communications. Tracks initiatives, risks, milestones, dependencies, and approvals while improving workflows and governance. Translates complex technical information into clear, visually engaging content for executive, technical, business, and enterprise audiences, partnering with cross-functional stakeholders to strengthen alignment and execution.

Develop and deploy data science, machine learning, deep learning, predictive modeling, and LLM solutions using large healthcare datasets. Build algorithms, statistical models, reporting tools, RAG applications, enterprise search, conversational interfaces, and AI agents. Analyze structured and unstructured data, identify patterns, evaluate outcomes, and provide insights supporting provider networks, engagement strategies, and consumer experiences. Collaborate with business and technical stakeholders to communicate analytical findings and recommendations.

Designs and leads production machine learning platforms for large-scale personalization and decisioning. Responsibilities include architecting backend services, feature stores, distributed pipelines, APIs, and optimization workflows; enforcing testing, CI/CD, observability, and reliability standards; productionizing causal inference, reinforcement learning, and optimization models; leading technical initiatives; and mentoring machine learning engineers. The role partners with data science, engineering, product, and platform teams to deliver scalable, maintainable ML systems.