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.

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 capacity planning models that incorporate hardware lifecycle, network topology, and service placement constraints