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Principal, Global Data Center Planning

Job in Northern, Floyd County, Kentucky, USA
Listing for: Meta Careers
Full Time position
Listed on 2026-09-30
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
# Principal, Global Data Center Planning Menlo Park, CA Engineering+ 1 more Apply nowMeta is seeking a senior infrastructure planning leader to join Data Center Central Planning. In this role, you will develop integrated, multi‐year global data center capacity plans and scaling strategies that ensure Meta can deliver the right infrastructure at the right time, cost, and reliability, while staying adaptable under uncertainty.

You’ll translate fast-evolving demand signals—especially those driven by AI large clusters—into executable supply strategies and clear executive decision points.

This is a high-leverage role operating at the intersection of data center planning, demand forecasting, infrastructure engineering, supply strategy. You will own our data center planning strategies and recommendations, drive cross-org alignment, and partner with stakeholders across capacity engineering, network, hardware, supply chain, finance, data science, and IDC delivery and operations teams to drive decisions through to implementation.

---## Principal, Global Data Center Planning Responsibilities
* Own multi-year DC capacity planning and the Plan of Record (PoR):
Develop, maintain, and continuously refresh integrated global data center supply/capacity plans; drive monthly/quarterly updates to assumptions, constraints, and scenarios to ensure plans remain decision-grade and executable.
* Lead decision-quality tradeoffs for leadership:
Apply quantitative and strategic judgment to build scenarios and evaluate alternatives; present clear options, tradeoffs, risks, and recommendations for multi‐billion‐dollar infrastructure investments and portfolio decisions.
* Drive AI large cluster planning outcomes:
Partner with engineering and delivery stakeholders to incorporate AI-driven demand profiles, large-cluster requirements, and emerging constraints into the central plan; help shape the capacity and delivery strategy to support rapid AI evolution.
* Create durable planning frameworks (beyond “spreadsheet planning”):
Improve the planning ecosystem by defining requirements for data quality, source-of-truth signals, and scalable planning workflows; partner with systems/tooling teams to uplevel automation and reliability of planning outputs.
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