At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
The Medical Economics team is looking to add an Application Development Manager.
This team plays a critical role in driving data-informed decision-making across CVS Health by delivering high-impact analytics, automation solutions, and strategic insights. As a member of this team, you will help shape the future of healthcare economics by leveraging advanced programming, scalable automation, and rigorous analytical methodologies to support key business initiatives.
In this role, you will :
- Analyze healthcare cost and utilization data to identify trends, evaluate program performance, and support decision-making across clinical and financial domains.
- Develop automated reporting tools and dashboards using Python, SQL, and cloud-based technologies to streamline workflows and enhance visibility into key metrics.
- Support predictive modeling and statistical analysis to assess provider efficiency, member outcomes, and the impact of medical management programs.
- Collaborate with cross-functional teams, including actuaries, clinicians, and business leaders, to translate complex business questions into clear, data-driven insights.
- Ensure data integrity and consistency across multiple sources and contribute to the development of scalable data pipelines and reusable code libraries.
- Present findings and recommendations through compelling visualizations and presentations tailored to both technical and non-technical audiences.
- Stay current with emerging tools and methodologies, including generative AI and automation frameworks, to continuously improve the team's analytical capabilities.
This is a fast-paced, collaborative environment where innovation and ownership are valued. You'll have the opportunity to work on meaningful projects that directly impact healthcare strategy and operations, while growing your technical and analytical skillset.
Required Skills :
Proficiency in Python for data manipulation, automation, and modelingStrong knowledge of SQL for querying large datasetsExperience with pandas, NumPy, and other data analysis librariesStrong Microsoft Office / ExcelAbility to build and maintain automated data pipelinesExperience working with cloud platforms (e.g., Google Cloud)Analytical Thinking :
Strong problem-solving skills and ability to translate business questions into analytical approachesExperience conducting statistical analysis, building predictive models, or evaluating healthcare economicsCommunication :
Ability to present complex data and insights clearly to both technical and non-technical audiencesExperience creating dashboards or visualizations using tools like Thoughtspot, Power BI, Dash or PlotlyCollaboration :
Comfortable working in cross-functional teams with clinicians, actuaries, and business stakeholdersPreferred Skills :
Understanding of medical cost drivers, utilization metrics, and provider performanceFamiliarity with claims data, risk adjustment, or value-based care modelsExperience with machine learning techniques and model evaluationExposure to generative AI or LLMs for enhancing analytics and automationWe are committed to fostering a workplace where every colleague feels valued and that they belong. Our people fuel our future, and we take pride in our comprehensive and competitive mix of pay and benefits.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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