AI-Driven Cloud Capacity Planning Lead

Cisco Systems

Hartford (CT)

On-site

USD 175,000 - 235,000

Full time

14 days+

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Job summary

Cisco is seeking a senior Cloud Capacity Planner to build and maintain a rolling capacity forecast across CSPs, regions, workloads and resources. You will align demand with supply, coordinate reservations with CSPs, and work with sales, engineering and FinOps to protect capacity and manage costs.

You will mentor junior planners and drive AI-enabled forecasting improvements to speed and improve accuracy across regions, ensuring on-time deliveries and accountable capacity plans.

Qualifications

  • Bachelor's in business, finance, engineering, supply chain, data analytics or a related field; and 8+ years of related experience.
  • Experience in cloud or infrastructure capacity planning with AWS, 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, bookings and roadmaps against supply; work with CSPs on reservations for on-time capacity.
  • Collaborate with sales, engineering and FinOps on lead times and cost controls.
  • Mentor fellow capacity planners and introduce AI-enabled planning tools.

Skills

Cloud capacity planning
Forecasting
Dashboards
FinOps

Education

Bachelor's degree
Master's degree

Tools

AI/ML tools

Job description

Cisco is seeking a senior Cloud Capacity Planner to build and maintain a rolling capacity forecast across CSPs, regions, workloads and resources. You will align demand with supply, coordinate reservations with CSPs, and work with sales, engineering and FinOps to protect capacity and manage costs.

You will mentor junior planners and drive AI-enabled forecasting improvements to speed and improve accuracy across regions, ensuring on-time deliveries and accountable capacity plans.

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