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 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 organizationsMeta builds technologies that help people connect, find communities, and grow businesses. 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.