Cloud Capacity Leader | AI Forecasting & Strategy

Cisco Systems; Denver (CO); On-site; USD 175,000 - 235,000; Full time

Job summary

Cisco Systems is seeking a Cloud Capacity Planner to build and maintain capacity forecasts across CSPs, regions, workloads, and resource types. You will translate demand from sales and product into supply, collaborate with CSPs on reservations, and mentor teammates to improve forecasting accuracy leveraging AI-enabled tools.

You will partner with sales, engineering and FinOps to align lead times, protect capacity during maintenance, and reconcile reservations to keep cloud costs in check while

Qualifications

• 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

Responsibilities

• Build and maintain a rolling capacity forecast by CSP, region, workload and resource type.
• Compare demand from sales pipeline, bookings and product roadmaps against available supply and work with CSPs on reservations.
• Collaborate with sales on lead times, with engineering on capacity during maintenance windows and with FinOps on reservations and costs.

Skills

Forecasting

Cloud capacity planning

Stakeholder communication

Mentoring teammates

Education

Bachelor's degree in business/finance/engineering/supply chain/data analytics

Master's degree in related field

Job description

Cisco Systems is seeking a Cloud Capacity Planner to build and maintain capacity forecasts across CSPs, regions, workloads, and resource types. You will translate demand from sales and product into supply, collaborate with CSPs on reservations, and mentor teammates to improve forecasting accuracy leveraging AI-enabled tools.

You will partner with sales, engineering and FinOps to align lead times, protect capacity during maintenance, and reconcile reservations to keep cloud costs in check while