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Data Center Strategy & Planning Manager

Meta
6 days ago
Full-time
On-site
Menlo Park, California, United States
$202,000 - $273,000 USD yearly
We are looking for a Data Center Strategy & Planning Manager with experience in developing infrastructure strategies. In this role, you'll be part of the team that builds Meta’s end to end infrastructure scaling strategies, and develops plans to drive efficiency in our infrastructure that set the direction for one of the fastest growing platforms in the world. As a Data Center Strategy & Planning Manager, you will be accountable for driving investment decisions that cover billions of dollars and help scale our data center footprint efficiently to meet our growing product and service needs. This is a unique opportunity where you will be responsible for developing and leading transformational strategic initiatives and capacity plans from inception, evaluating trade-offs, and driving recommendations to executive leadership, and taking them through implementation. This is an individual contributor role, where you’re at home rolling up the sleeves and being in the details, as well as being experienced to think big picture, project manage complex initiatives, and influence partner teams to change the status quo.

Leverage technical experience and expertise, to Identify and build large transformational capacity plans and initiatives across Infrastructure that scale Meta’s Data Center footprint efficiently

Develop new Data Center capacity planning strategies that focus on driving improvements in reliability, and achieve cost and operational efficiency including reductions in deployment times, improvements in data center power utilization, and service placement optimizations

Develop detailed project evaluation plans for data center plan evolution and set the pace to drive closure

Apply deep quantitative techniques, develop decision scenarios and trade-offs to drive multi-billion dollar infrastructure decisions at the highest level in the organization

Own the communications strategy for data center planning decisions which includes executive level and detailed project briefs and status updates

Lead the design and evolution of capacity planning systems and tooling that enable automated, data-driven decision-making across planning cycles

Use technical judgment to drive new project evaluations, technology reviews and proposals building consensus

Define organizational best practices for capacity engineering, mentoring other engineers and establishing technical standards across the central planning function

Evaluate emerging infrastructure technologies and deployment models to inform long-range capacity strategy and roadmap evolution

Drive resolution of complex, ambiguous capacity challenges that span multiple infrastructure domains, product areas, and organizational boundaries

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

12+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy, Capacity Planning, Supply Chain Optimization, technology strategy consulting

Experience defining and owning capacity modeling or demand forecasting methodologies at a company-wide or multi-region scale

Experience influencing infrastructure investment and procurement decisions through quantitative analysis, written proposals, and executive-level communication

Experience leading cross-functional technical programs that span engineering, finance, supply chain, and operations organizations

Problem solving and strategy skills, including expansive opportunity identification and framing of complex/ambiguous problems

Experience distilling various data points into actionable insights and recommendations, to quickly separate signal from noise for executive communication and decision making

Track record of publishing or presenting capacity planning methodologies that have been adopted across engineering organizations

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

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/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience building or scaling a capacity engineering function, including defining team structure, processes, and technical roadmaps

Experience with supply-demand modeling for hyperscale data center infrastructure, including compute, storage, and network capacity domains

Familiarity with infrastructure economics, total cost of ownership modeling, and capital planning processes in a large technology organization