Global Data Center Capacity Planning & Strategy

Meta; Menlo Park (CA); On-site; USD 271,000 - 347,000; Full time

Job summary

Meta is seeking a Senior Infrastructure Planning leader to drive multi-year, global data center capacity plans and AI-driven demand scenarios. You will own the Plan of Record, coordinate with capacity engineering, network, hardware, and finance teams, and deliver executable strategies for the broader organization.

Lead cross-functional discussions, present decision-grade options to executives, and evolve planning systems to improve data quality and automation.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 15+ years in infrastructure strategy and capacity planning with cross-org ownership.
• Strong quantitative analysis and modeling skills (scenario analysis, optimization).
• Executive-level communication skills for senior leadership.

Responsibilities

• Own multi-year data center capacity planning and Plan of Record (PoR).
• Drive monthly/quarterly updates to assumptions, constraints, and scenarios.
• Lead decision-quality tradeoffs for leadership: evaluate alternatives and present options.
• Present clear recommendations for multi-billion-dollar infrastructure investments.
• Drive AI large cluster planning: incorporate AI-driven demand and constraints.
• Shape capacity and delivery strategy to support rapid AI evolution.
• Create durable planning frameworks and scalable workflows.

Skills

Quantitative analysis

Executive communication

Autonomy in ambiguity

Decision-grade narratives

Education

Bachelor's degree in CS/Engineering/OR/economics or equivalent

BS in engineering/computer science/quantitative field

Job description

Meta 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.
• Identify constraints, dependencies, and mitigation strategies: Surface systemic risks (power, space, lead times, supply volatility, readiness, policy/legal, sustainability, etc.), define mitigation paths, and drive closure with accountable partners.
• Own executive communication and stakeholder alignment: Build the narrative and communications strategy for planning decisions (exec briefs, deep dives, recurring forums)
• drive alignment across diverse, high-seniority stakeholders with competing priorities.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• BS in engineering, computer science, operations research, economics, or other quantitative/analytical field (or equivalent practical experience)
• 15+ years experience in infrastructure strategy, capacity planning, hardware/cloud infrastructure, supply strategy, or adjacent domains with demonstrated ownership of large, cross-org decisions
• Demonstrated strength in quantitative analysis and modeling (scenario analysis, sensitivity analysis, decision frameworks, optimizing under constraints/uncertainty)
• Strong understanding of large-scale infrastructure systems and how workload requirements map to data center constraints (power, space, networking, availability, lead times, etc.)
• Proven ability to operate autonomously in ambiguous environments and drive alignment to closure through influence
• Executive-level communication skills: able to synthesize complexity into decision-grade narratives for senior leadership

Preferred Qualifications:

• Experience with AI infrastructure planning (training/inference demand patterns, large-cluster constraints, rapid shifts in demand and hardware assumptions)
• Experience owning or evolving planning systems / data pipelines / source-of-truth processes at scale
• Prior experience partnering with IDC delivery (construction, build programs, lease strategy, site/facility ops) and/or capacity engineering organizations

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$271,000/year to $347,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.