Senior Cloud Capacity Forecasting Lead

Cisco Systems

Miami (FL)

On-site

USD 175,000 - 235,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Parental leave
Paid time off
Volunteer time off
Restricted stock units

Job summary

Cisco is seeking a Cloud Capacity Planner to build rolling forecasts by CSP, region, workload, and resource type. You will align demand with supply, coordinate reservations with CSPs, and partner with Sales, Engineering, and FinOps on lead times and budgets.

You will mentor peers and introduce AI-enabled forecasting tools to improve accuracy across all regions, driving on-time capacity planning.

Qualifications

  • Bachelor's degree in business, finance, engineering, supply chain, data analytics or related field with 8+ years experience, or a master's with 6+ years.
  • 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 product roadmaps against available supply; coordinate with CSPs on reservations.
  • Collaborate with sales on lead times, with engineering on capacity during maintenance windows and with FinOps on reservations.
  • Mentor fellow capacity planners and introduce AI-enabled tools to speed planning.

Skills

Cloud capacity planning
Demand forecasting
Dashboard reporting
FinOps collaboration
Mentoring

Education

Bachelor's degree
Master's degree

Tools

AI/ML tools

Job description

Cisco is seeking a Cloud Capacity Planner to build rolling forecasts by CSP, region, workload, and resource type. You will align demand with supply, coordinate reservations with CSPs, and partner with Sales, Engineering, and FinOps on lead times and budgets.

You will mentor peers and introduce AI-enabled forecasting tools to improve accuracy across all regions, driving on-time capacity planning.

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