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