Jobs at CVS Health

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.

Lead consumer marketing strategy and execution for Health100, driving awareness, acquisition, onboarding, and sustained engagement. Own go-to-market planning, lifecycle programs (email, push, in-app), messaging, campaign execution across channels, performance measurement, and cross-functional alignment with Product, Digital, Analytics, and Marketing.

Lead CVS Health9s enterprise M&A, divestiture, and strategic investment activity. Set corporate development strategy, advise executives and Board, execute complex transactions end-to-end, oversee integrations, rebuild the Corporate Development function, manage regulatory and governance risks, and maintain external banking/advisor relationships across a large, matrixed healthcare enterprise.

The Senior Data Engineer designs, develops, and maintains data pipelines, leveraging GCP tools to manage healthcare data and provide insights for business decisions.

Design and implement mainframe-based software for claims processing using COBOL, CICS, DB2 and related tools. Architect solutions, write and test code, debug, perform code reviews, integrate systems, and produce technical documentation. Work in Agile teams, collaborate with stakeholders and offshore vendors, and support claim adjudication and payment processes.

This role involves leading strategic planning, product innovation, and cross-functional collaboration to enhance pharmacy analytics and drive growth initiatives for CVS Health.

Lead analytics and reporting for DTC channels, develop dashboards and quality metrics, ensure data integrity, support vendor oversight, and drive performance improvements using data tools and quality processes focused on Medicare sales.

Lead enterprise accessibility strategy by partnering with Product, Design, and Engineering to embed inclusive practices, define metrics and SLAs, manage defect remediation and audits, coach teams, and report executive-level progress to drive accessible digital experiences.

Lead architecture and engineering initiatives to design, build, and scale cloud-native, microservices-based applications on GCP. Guide stakeholders, author technical documentation, validate non-functional requirements, mentor engineers, drive POCs, and ensure security, accessibility, and data protection for consumer-facing healthcare solutions.

Provide high-quality, evidence-based care as an LPN/LVN: assess patients, administer medications and vaccines, perform phlebotomy and point-of-care testing, document in EMR, conduct mental health screenings, coordinate care, and communicate with patients and interdisciplinary teams to improve outcomes.

Partner with Specialty Operations leaders to translate ambiguous business questions into analytical approaches. Perform statistical analysis, forecasting, experimentation, segmentation, and hypothesis testing. Synthesize large datasets into actionable insights, influence cross-functional and executive decisions, prioritize opportunities with business leaders, and communicate recommendations to drive operational improvements.

Partner with senior leaders to shape Aetna enterprise strategy: develop business plans and cases, lead cross-functional strategic projects, perform research and financial modeling, facilitate workshops, create executive presentations, and drive strategy implementation across core businesses.

Lead complex analyses of large healthcare datasets to evaluate growth opportunities, measure test-and-learn results, build dashboards and automated reports, enable self-service analytics, and present actionable insights and recommendations to stakeholders to drive pharmacy prescriptions and immunizations growth.

Partner with trade leaders to translate ambiguous business problems into analytic frameworks, design and productionize Agentic AI solutions via APIs, perform statistical analysis, forecasting, experimentation, and synthesize large datasets into actionable insights to influence strategic and operational decisions across CVS.

Lead cloud and data platform engineering for analytics and AI: implement DevSecOps CI/CD pipelines, automate infrastructure with IaC, manage Snowflake data warehouse and ingestion, oversee cloud cost reporting and FinOps, and evaluate/operate emerging AI/LLM capabilities and governance. Act as senior individual contributor collaborating with security, finance, and engineering teams to optimize performance, security, and cost.

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.

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.

The Lead Director of Software Engineering will oversee the Health100 platform's development, drive innovation, lead cross-functional teams, and manage strategic engineering initiatives while ensuring high-quality delivery and stakeholder alignment.

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.