Data Center Strategy & Planning Manager
About The Position
The Data Center Strategy & Planning Manager develops infrastructure strategies and end-to-end plans to scale Meta’s data center footprint efficiently in response to growing product and service needs. The role drives investment decisions involving billions of dollars, develops and leads transformational strategic initiatives and capacity plans from inception through implementation, evaluates trade-offs, and presents recommendations to executive leadership. This is an individual contributor position that combines detailed execution and project management with big-picture strategic thinking and influence across partner teams. The manager develops capacity planning strategies and systems, evaluates emerging infrastructure technologies and deployment models, and addresses complex capacity challenges across infrastructure domains, product areas, and organizational boundaries. The role also defines capacity engineering best practices, mentors engineers, and establishes technical standards for the central planning function.
Requirements
- Bachelor’s degree in a directly related field, or equivalent practical experience.
- 12+ years of experience working in Infrastructure, Cloud, or Hardware, with a background in Strategy, Capacity Planning, Supply Chain Optimization, or technology strategy consulting.
- Experience defining and owning capacity modeling or demand forecasting methodologies at 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 across engineering, finance, supply chain, and operations organizations.
- Problem-solving and strategy skills, including identifying expansive opportunities and framing complex or ambiguous problems.
- Experience turning varied data into actionable insights and recommendations, separating signal from noise for executive communication and decision-making.
Nice To Haves
- Track record of publishing or presenting capacity planning methodologies adopted across engineering organizations.
- Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
- Ongoing AI skill development, such as prompt/context engineering or agent orchestration, and keeping current with emerging AI technologies.
- Ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or 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.
Responsibilities
- Identify and build large transformational capacity plans and initiatives across Infrastructure to scale Meta’s Data Center footprint efficiently.
- Develop Data Center capacity planning strategies that improve reliability, cost and operational efficiency, deployment times, data center power utilization, and service placement.
- Develop detailed project evaluation plans for data center plan evolution and drive them to closure.
- Use quantitative techniques to develop decision scenarios and trade-offs for multi-billion-dollar infrastructure decisions.
- Own communications for data center planning decisions, including executive-level and detailed project briefs and status updates.
- Lead the design and evolution of capacity planning systems and tooling for automated, data-driven decision-making across planning cycles.
- Use technical judgment to drive project evaluations, technology reviews, and proposals, and build consensus.
- Define organizational best practices for capacity engineering, mentor other engineers, and establish technical standards across the central planning function.
- Evaluate emerging infrastructure technologies and deployment models to inform long-range capacity strategy and roadmap evolution.
- Resolve complex, ambiguous capacity challenges spanning infrastructure domains, product areas, and organizational boundaries.
Benefits
- Bonus
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Manager
