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# Sr. Manager, Cloud Capacity Management

- **Company:** Cisco Systems, Inc.
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $174,600.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Azure Machine Learning, Google Cloud, Data Analytics
- **Published:** October 21, 2026
- **Apply:** https://www.minneapoliscareersite.com/job.asp?id=3462155379&tx=JK6559FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in business, finance, engineering, supply chain, data analytics or a related field; and 8+ years of related experience, or a master's degree and 6+ years of related experience
 * Experience in cloud or infrastructure capacity planning with AWS, Microsoft Azure or Google Cloud, including quotas and reservations
 * Experience building demand forecasts and scenario models
 * Experience building reports and dashboards
 * Experience working with FinOps or finance teams on cloud cost management, reservation coverage or budgets

Preferred Qualifications

 * Hands-on experience using AI or machine learning tools to automate forecasting and reporting
 * Knowledge of how geopolitical, regulatory and data sovereignty factors affect regional capacity and hardware supply chains
 * Clear communicator who enjoys explaining trade-offs to stakeholders at every level
 * Passion for mentoring teammates and building processes that make everyone's work easier

## Description

Build and maintain a rolling capacity forecast by CSP, region, workload and resource type to help leaders make confident investment and growth decisions worldwide. Compare demand from sales pipeline, bookings and product roadmaps against available supply, then work with CSPs on reservations so customers get capacity on time without wasted spend. Collaborate with sales on realistic lead times, with engineering on protecting capacity during maintenance windows and with FinOps on reconciling reservations to keep costs healthy. Mentor fellow capacity planners and introduce AI-enabled tools to make planning faster and more accurate across every region. Measure your success by sharper forecasts, on-time deliveries and a clear owner and plan for every capacity gap.