Manager, Application Development

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,