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Data Center Strategy & Planning Manager

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Meta
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Engineering, AI Business & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 202000 - 273000 USD Yearly USD 202000.00 273000.00 YEAR
Job Description & How to Apply Below

Summary

Meta is seeking a Data Center Strategy & Planning Manager to join the Strategic Planning team within the Data Center organization. In this role, you will be responsible for shaping Meta's global data center roadmap and developing end-to-end infrastructure scaling strategies that support one of the world's largest and fastest-growing compute platforms. You will drive transformational capacity planning initiatives spanning network, hardware, and facility infrastructure, translating complex technical and operational trade-offs into multi-billion dollar investment decisions presented to executive leadership.

This is a highly cross‑functional individual contributor role requiring deep partnership with capacity engineering, network engineering, construction, site selection, site and facility operations, and finance stakeholders.

Required Skills Data Center Strategy & Planning Manager Responsibilities
  • Identify, develop, and lead large‑scale transformational capacity planning initiatives that scale Meta's global data center footprint efficiently and reliably

  • Build and evolve data center capacity planning strategies that drive improvements in power utilization, deployment timelines, service placement optimization, and cost efficiency

  • Apply quantitative modeling and scenario analysis to evaluate infrastructure trade‑offs and support multi‑billion dollar investment decisions at the executive level

  • Develop detailed project evaluation frameworks for data center plan evolution, setting milestones and driving initiatives through to closure

  • Optimize the interplay between network, hardware, and data center infrastructure footprints to unlock operational and capital efficiency

  • Own the communications strategy for data center planning decisions, including executive‑level briefings, detailed project status updates, and investment recommendations

  • Partner cross‑functionally with capacity engineering, network engineering, construction, site selection, facility operations, and finance to align on planning assumptions and execution priorities

  • Use technical judgment to lead new project evaluations, technology reviews, and infrastructure proposals, building consensus across partner organizations

  • Distill large and varied data sets into clear, actionable insights that separate signal from noise for leadership decision‑making

  • Define and refine long‑term infrastructure scaling hypotheses into structured analyses and strategic recommendations that influence company‑wide data center direction

  • Minimum Qualifications
  • Bachelor's degree in a directly related field, or equivalent practical experience

  • 12+ years of experience in infrastructure, cloud, or hardware domains with a background in strategy, capacity planning, supply chain optimization, or technology strategy

  • Experience developing and executing large‑scale infrastructure efficiency or optimization programs across network, hardware, or data center systems

  • Experience applying quantitative techniques and scenario modeling to drive complex infrastructure investment decisions

  • Experience distilling technical and operational data into executive‑level communications, recommendations, and decision frameworks

  • Experience collaborating across engineering, finance, construction, and operations organizations to align on infrastructure planning strategies

  • Preferred Qualifications
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

  • Experience with data center power infrastructure, cooling systems, or facility design as it relates to capacity and efficiency planning

  • Advanced degree in engineering, operations research, business, or a related technical field

  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

  • Demonstrated ability to integrate AI tools to optimize analytical workflows and drive measurable improvements in planning accuracy or efficiency

  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

  • Experience developing…

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