Staff Capacity Planning Developer & Modeler

nt to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient, and affordable.**Position Summary:**We are seeking a highly skilled Staff Capacity Planning Developer & Modeler to join our team. This role is vital to building the next-generation capacity planning platform, enabling automation and self-service capabilities for internal teams and customers. As a Capacity Planning Developer & Modeler, you will support the capacity planning lead by developing and modeling a new platform that offers an always-on, self-service, automated application. This platform will assist with capacity planning, performance optimization, FinOps, and predictive analysis to prevent outages. Your focus will be on ensuring the application is robust, user-friendly, and capable of handling complex capacity and performance data for real-time decision-making. This role will help application teams, our customers, be prepared for peak season as well as run their applications and infrastructure efficiently and optimally year-round.Key Responsibilities:

• Develop and model the new capacity planning platform, ensuring it is robust, user-friendly, and capable of handling complex capacity and performance data.
• Implement automation and self-service capabilities to enable internal teams and customers to perform capacity planning, performance optimization, FinOps, and predictive analysis.
• Enhance the platform's predictive analysis and performance features to drive proactive decision-making and prevent outages.
• Collaborate with the capacity planning lead to design and implement solutions that optimize resource utilization and improve overall system efficiency.
• Ensure the platform supports real-time decision-making by providing accurate and timely capacity and performance data.
• Utilize ClickHouse as the database for efficient data storage and retrieval.
• Develop data models to support capacity planning and performance optimization.
• Create visualizations and dashboards using Tableau to provide insights and support decision-making.
• Provide hands-on coding expertise in Python to develop and maintain the capacity planning platform.
• Document processes and solutions, providing clear guidelines and support for internal teams and customers.
• Stay updated on the latest technologies and practices in capacity planning, performance optimization, and predictive analysis, continuously seeking ways to improve operations and contribute to innovation within the team.
• Troubleshoot and resolve issues related to the capacity planning platform, providing expert guidance and solutions to enhance performance.
• Participate in project meetings, providing technical oversight and contributing to the successful delivery of the capacity planning platform.

Required Qualifications:

• A minimum of 7 years of experience in capacity planning, performance optimization, and predictive analysis.
• Strong proficiency in Python for developing and maintaining the capacity planning platform.
• Expertise in data modeling and using ClickHouse as the database.
• Experience with Tableau for creating visualizations and dashboards.
• Experience with automation and self-service capabilities for capacity planning and performance optimization.
• Solid understanding of FinOps principles and practices.
• Strong analytical skills, with a focus on delivering actionable insights and improvements.
• Excellent problem-solving skills and the ability to work collaboratively in a dynamic, fast-paced environment.
• Strong communication and interpersonal skills, capable of working effectively with diverse teams.
• Experience with modern development tools and practices, including version control, continuous integration/continuous deployment (CI/CD), and agile methodologies.

Education:

• Bachelor's degree from an accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

Pay Range

The typical pay range for this role is:$106,605.00 - $284,280.00

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. This position also includes an award target in the company's equity award program.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.

For more detailed information on available benefits, please visit Benefits | CVS HealthWe anticipate the application window for this opening will close on: 01/30/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.