Build and maintain near-term and long-range demand and supply forecasts by site and region, connecting AI compute requirements to system counts, racks, critical power, cooling, and network capacity.
Reconcile customer commitments, expected growth, utilization, and engineering plans; distinguish committed demand from forecast opportunities and document planning assumptions.
Maintain a clear view of installed, commissioned, allocated, available, and planned capacity. Account for operating reserves, redundancy requirements, and capacity that cannot yet support workloads.
Model capacity gaps and expansion scenarios, incorporating utility timelines, construction and commissioning milestones, hardware availability, and supplier lead times.
Recommend when to expand, reserve, or rebalance capacity. Partner with Finance to assess capital requirements, operating costs, utilization, and the tradeoffs between earlier availability and unused capacity.
Partner with delivery TPMs to translate approved capacity plans into site requirements and milestones; update forecasts when schedules, demand, or infrastructure constraints change.
Work with Data & Tooling partners to establish planning datasets, reconciliation checks, and dashboards. Track forecast accuracy, capacity coverage, utilization, and changes in expected availability.
Lead recurring capacity reviews, explain material changes, and present decisions and recovery options to leadership with clear assumptions, owners, and dependencies.