Manager, Application Development

CVS Health

21h•Remote

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. 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.

Requirements

3+ years of work experience in healthcare, consulting, or a related field, problem solving, and ability to translate business questions into analytical approaches
3+ years experience with proficiency in Python for data manipulation, automation, and modeling and SQL for querying large datasets
2+ years experience with pandas, NumPy, and other data analysis libraries
3+ years experience Microsoft Office/Excel
3+ years experience building and maintaining automated data pipelines
3+ years experience working with cloud platforms (e.g., Google Cloud)
3+ years experience working in cross-functional teams with clinicians, actuaries, and business stakeholders
3+ years experience creating dashboards or visualizations using tools like Thoughtspot, Power BI, Dash or Plotly
This remote role does not provide sponsorship or support for any visas now or in the future.

Nice To Haves

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
Experience conducting statistical analysis, building predictive models, or evaluating healthcare economics
Ability to present complex data and insights clearly to both technical and non-technical audience
Experience with version control (e.g., Git)
Familiarity with BigQuery, DB2 or SQL Server
Visual Studio Dot Net
Experience with Airflow
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.)

Responsibilities

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.

Benefits

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.

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