Jobs at CVS Health

Analyze policy filings, support ePublishing updates, assist with compliance audits, and collaborate with team members for consistent language implementation.

Provide executive administrative support to the VP of Caremark Trade, managing calendars, travel, communications, and maintaining confidentiality in a fast-paced environment.

Manage creation of digital UX storytelling materials—storyboards, animatics, motion graphics, slides and videos—collaborating with cross-functional teams, mentoring junior designers, and ensuring usability, accessibility, and alignment with client needs.

The Senior Machine Learning Engineer will build and optimize ML systems for CRM marketing, collaborating with cross-functional teams to impact customer engagement and product functionality.

Technical lead for a Utilization Management squad delivering full-stack, production-quality software. Hands-on daily coding with strong UI focus (React/Angular), architecting microservices, integrating LLM-based solutions (prompting, embeddings, RAG), ensuring observability and 24/7 reliability, mentoring engineers, partnering with product and clinical stakeholders, and owning deployment and release management.

The Strategic Account Manager leads digital media campaigns, manages client and supplier relationships, and drives strategic planning, execution, and performance analysis to enhance business growth and achieve advertising goals.

Lead analytics workstreams for Utilization Management by building predictive models, analyzing structured and unstructured data, and delivering end-to-end analytical products. Collaborate with business partners, mentor analysts/data scientists, present findings, and apply advanced statistical and machine learning techniques to improve UM operations and member/provider experience.

Define and execute onsite advertising product roadmap (display, Sponsored Products/Brands). Partner with engineering, ad ops, sales, and data science to optimize inventory, auction dynamics, targeting, and reporting. Use GAM, SQL/R/Python, and BI tools to track KPIs, run experiments, and drive monetization outcomes and ad performance.

The Principal Engineer for Conversational AI will lead engineering teams, design software solutions, and ensure high-quality products in voice and chat bots, while collaborating across functions.

The Principal Engineer for Conversational AI will lead engineering teams, develop high-quality AI software solutions, and ensure operational excellence. They will oversee design and code reviews, mentor team members, and drive technical vision in cloud environments.

Lead internal consulting efforts and execute high-priority strategic initiatives across the enterprise. Conduct market research, build quantitative analyses and financial models, define KPIs, create dashboards, and develop executive-ready presentations. Partner cross-functionally to prioritize projects, track portfolio performance, and inform leadership decision-making to drive value and operational improvements.

Design, build, and manage large-scale data structures, pipelines, and ETL workflows. Integrate data for analytics and Data Science, optimize Hadoop/HDFS processes, develop data marts and models, ensure data quality and accessibility, and evaluate/adopt tooling for real-time and offline processing.

Design, build, and manage large-scale data warehouses, ETL pipelines, and data marts. Develop ETL processes, optimize SQL and database performance, integrate data science models, ensure data quality and accessibility, and mentor junior engineers while leading complex solutions.

Lead enterprise strategy initiatives and build an internal consulting capability. Drive project intake, prioritization, portfolio tracking, and reusable tools. Lead end-to-end strategic projects from problem definition through implementation, structure ambiguous problems, coordinate cross-functional stakeholders, evaluate trade-offs and risks, and deliver data-driven recommendations to executive leadership.

Design, develop, upgrade, test, and deploy software applications and platforms supporting healthcare processes. Participate in Agile/Scrum, CI/CD, code review, mentor junior engineers, and collaborate cross-functionally to ensure performance, reliability, and maintainability.

Design, develop, upgrade, test, and deploy software applications and platforms supporting digital healthcare solutions. Perform data analytics on large datasets, build ETL/data pipelines, design data architectures and ML infrastructure, write high-quality code, participate in Agile/CI/CD processes, and collaborate with cross-functional teams to support applications processing prescriptions, claims, and related healthcare activities.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts for real-time and batch analytics. Collaborate with Data Science to productionize models, ensure data quality and accessibility, troubleshoot systems, and recommend tooling and architecture improvements.

Design, build, and maintain large-scale data structures, ETL pipelines, and data models on cloud platforms (GCP/BigQuery, AWS, Azure). Collaborate with Data Science to integrate models, ensure data quality, troubleshoot systems, and support analytics modernization.

Design, build, and manage large-scale data structures, ETL pipelines, and data architectures for analytics and reporting. Integrate data science models, ensure data quality and interoperability, troubleshoot systems, and recommend tooling and solutions to support analytics and business applications in a healthcare environment.

Develop and deploy analytics applications and predictive models using machine learning, NLP, and statistical methods on large healthcare datasets. Build data architectures, ETL pipelines, MLOps practices, visualizations, and support model deployment and monitoring to inform business and clinical decisions.