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Data Center Central Planning Lead

Meta· Data Center Operations
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Menlo Park, CA$219k - $301kFull-timePosted 2w ago

About the role

Lead development of end-to-end, constraint-aware data center capacity plans translating product growth, AI workload evolution, and fleet architecture into executable roadmaps across power, cooling, space, and network. Act as a trusted advisor to senior leaders, building quantitative models and scenario plans to inform multi‑billion‑dollar infrastructure choices. Individual contributor leadership focusing on technical rigor, durable planning mechanisms, and cross‑org alignment.

Responsibilities

  • Own long-range capacity planning and strategy (LRP) to connect demand signals (product + AI) to data center supply plans and execution paths across MW delivery, space readiness, and network capacity—including multi‑year roadmaps, supply and demand matching, and key decision points
  • Build and maintain quantitative planning models (supply/demand, portfolio allocation, sensitivity analysis, bottleneck identification, schedule-risk and uncertainty modeling), and use them to drive investment prioritization and sequencing
  • Translate workload characteristics (GPU/AI clusters, rack power density, resiliency tiers, topology/interconnect needs, placement constraints) into facility and electrical requirements including MW ramp profiles, readiness gates, and deployment constraints
  • Lead assessment of system-level constraints across fleet and pipeline (utility delivery timelines, substation/transformer capacity, cooling technology limits, heat rejection, building envelopes, network ingress/egress, construction sequencing) and drive mitigation strategies with clear owners, timelines, and success criteria
  • Develop executive decision packages: synthesize complex analyses into crisp trade-offs and recommendations (cost, schedule, reliability, operability, risk), explicitly calling out assumptions, sensitivities, and "what changes the answer."
  • Advise and influence senior Meta leadership by framing options, aligning stakeholders pre‑readout, and driving decisions in forums with competing priorities—while maintaining technical credibility with engineering partners
  • Drive cross-functional execution and accountability: align roadmaps, surface gaps early, manage escalations, and ensure closure through programmatic follow-through and planning governance
  • Establish and continuously raise the planning "bar": define assumption governance, model review cadence, metric definitions, documentation standards, and reproducibility so plans are auditable, repeatable, and resilient to ambiguity

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Skills

Required:Capacity planningQuantitative planning modelsWorkload characterization translationExecutive communication
Nice to have:Cross-functional leadership

Benefits

  • Bonus
  • Equity
  • Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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