Capacity Planning Manager
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- Translate demand into capacity requirements and planning assumptions
- Balance infrastructure supply, deployment and business priorities
- Run integrated planning and executive investment decisions
Benchmark: Google Integrated Infrastructure Planning + hyperscale cloud demand/capacity planning signals (current Sep 2026) Current bar: convert rapidly evolving product and AI demand into short-, medium- and long-range infrastructure plans; model constraints, allocation, investment tradeoffs, risks and Plan-of-Record decisions.
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Translate demand into capacity requirements and planning assumptions
Demand forecasting, horizons + planning cadence
Coverage: Forecasting / S&OP / Demand Planning / Assumptions
Capacity models, constraints + scenario logic
Coverage: Operations Research / Constraints / Scenario Planning
Balance infrastructure supply, deployment and business priorities
Infrastructure supply, lead times + deployment alternatives
Coverage: Infrastructure Planning / Supply Chain / Deployment
Allocation, utilization + cost / service tradeoffs
Coverage: Allocation / FinOps / Unit Economics / SLOs
Run integrated planning and executive investment decisions
Multi-horizon scenarios, risk + resilience
Coverage: Scenario Analysis / Risk / Resilience / Portfolio Planning
Executive decision support + planning automation
Coverage: Decision Support / Dashboards / Workflow Automation
Role-Readiness Proof / Capstone
Build a 0-10 year capacity plan for a simulated AI/cloud service: create demand forecasts with confidence bands; model compute/network/storage/power requirements and lead times; define constraints and deployment alternatives; run base/up/down and disruption scenarios; allocate scarce capacity; quantify utilization and cost; produce a Plan of Record, risk register and executive investment decision.
Proof Rubric
- Show traceable assumptions and forecast accuracy
- separate demand signal from committed capacity
- model constraints and lead times explicitly
- quantify utilization, headroom, cost and service risk
- demonstrate scenario and allocation logic
- maintain one source of truth
- and communicate investment tradeoffs clearly to Product, Engineering, Supply Chain and Finance