Jobs at CVS Health

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.

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

The Director of Client Insights & Strategy leads measurement strategies and team management, ensuring data-driven marketing effectiveness and client engagement across various teams and methodologies.

Lead development and evolution of forecasting assets using statistical, ML, and AI-driven methods. Own model development, feature engineering, EDA, ensemble and hierarchical forecasting, and evaluation. Integrate foundation models and deep learning where beneficial, collaborate with stakeholders to drive measurable impact, and support deployment and operationalization of forecasting solutions within a shared Center of Excellence.

The Lead Director, Strategy & Operations will drive Growth Analytics effectiveness, manage projects, communicate with stakeholders, and ensure operational excellence.

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.

Develop and implement analytics applications and predictive models using machine learning, NLP, and big-data tools. Source and profile healthcare data, build scalable ingestion pipelines, evaluate models, visualize results, and support deployment across channels to inform clinical and business decisions (pharmacy pricing, medical costs, risk scoring, customer engagement).

Lead and manage IT software projects and teams, ensuring schedule and scope adherence. Plan application development for performance, reliability, and maintainability. Prepare technical design documentation, monitor milestones and deliverables, support systems processing prescriptions and claims, collaborate on requirements, code review, QA and SDLC practices, and mentor junior team members.

Design, build, and manage large-scale data structures, pipelines, and ETL workflows. Develop real-time and batch processing, integrate data for analytics and ML, collaborate with Data Science to productionize models, ensure data quality and accessibility, and recommend tools and architectures for scalable data solutions.

Lead and deliver a portfolio of Data, AI, and ML products for retail pharmacy growth and operations. Define AI strategy toward agentic automation, architect cloud-native ML solutions, enforce security and HIPAA-compliant data governance, scale Claude Skills and MCP integrations, run engineering standards and CI/CD/DataOps, and grow high-performing engineering teams while partnering with senior stakeholders to drive measurable business outcomes.