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 a 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:
Programming & Data Analysis:
- Proficiency in Python for data manipulation, automation, and modeling
- Strong knowledge of SQL for querying large datasets
- Experience with pandas, NumPy, and other data analysis libraries
- Strong Microsoft Office/Excel
- Data Handling & Automation:
- Ability to build and maintain automated data pipelines
- Experience working with cloud platforms (e.g., Google Cloud)
Analytical Thinking:
- Strong problem-solving skills and ability to translate business questions into analytical approaches
- Experience conducting statistical analysis, building predictive models, or evaluating healthcare economics
Communication:
- Ability to present complex data and insights clearly to both technical and non-technical audiences
- Experience creating dashboards or visualizations using tools like Thoughtspot, Power BI, Dash or Plotly
Collaboration:
- Comfortable working in cross-functional teams with clinicians, actuaries, and business stakeholders
Preferred Skills:
Healthcare Domain Knowledge:
- Understanding of medical cost drivers, utilization metrics, and provider performance
- Familiarity with claims data, risk adjustment, or value-based care models
- Advanced Analytics:
- Experience with machine learning techniques and model evaluation
- Exposure to generative AI or LLMs for enhancing analytics and automation
Software & Tools:
- Experience with version control (e.g., Git)
- Familiarity with BigQuery, DB2 or SQL Server
- Visual Studio Dot Net
- Experience with Airflow
Project Experience:
- Demonstrated ability to manage multiple projects and deliver high-quality results under tight timelines
- Hands on experience with version control (GitLab or GitHub), ML platforms (GCP Vertex AI, Airflow, etc.),
3+ years of work experience in healthcare, consulting, or a related field,
This remote role does not provide sponsorship at this time.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 11/24/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
