Data Center Central Planning Manager

About the role

**Summary:**

We are looking for a Data Center Central Planning Manager () to join Meta’s Data Center Strategic Planning organization. In this role, you will drive the development of constraint-aware data center capacity plans that translate product growth, AI workload evolution, and fleet architecture into actionable roadmaps across power (MW), cooling, space, and network.You will work at the intersection of capacity engineering, portfolio planning, and investment decisioning, building quantitative analyses and scenarios that inform major infrastructure choices. You’ll be expected to go deep in the data and engineering constraints, partner effectively across Capacity Engineering, Facilities, Network, Construction, Site Selection, Finance, and Operations, and communicate clear recommendations that move decisions forward.

**Required Skills:**

Data Center Central Planning Manager Responsibilities:

1. Drive portfolio capacity plans connecting demand signals (product + AI) to supply plans and execution paths across MW delivery, cooling envelope, space readiness, and network capacity, including near-to-mid term roadmaps and readiness milestones

2. Build and maintain quantitative planning models (supply/demand, scenario analysis, sensitivities, bottleneck identification, schedule-risk and uncertainty modeling) to support prioritization and sequencing decisions

3. Translate workload characteristics (GPU/AI clusters, rack power density, resiliency tiers, topology/interconnect needs, placement constraints) into facility and electrical requirements, including megawatt ramp profiles, readiness gates, and deployment constraints

4. Assess system-level constraints across fleet and pipeline (utility delivery, substation/transformer capacity, cooling limits, heat rejection, building envelopes, network ingress/egress, construction sequencing) and drive mitigation plans in partnership with directly responsible teams

5. Develop decision packages and narratives: synthesize analyses into clear trade-offs and recommendations (cost, schedule, reliability, operability, risk), explicitly calling out assumptions and sensitivities

6. Partner with senior stakeholders by aligning pre-reads, surfacing key risks early, and supporting decision-making in planning forums—maintaining strong technical credibility with engineering partners

7. Drive cross-functional execution: align dependencies, track closure of gaps, manage escalations as needed, and support planning governance (cadence, documentation, model hygiene)

**Minimum Qualifications:**

Minimum Qualifications:

8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

9. Bachelor’s degree in Engineering, Computer Science, Applied Math, Physics, Operations Research, or equivalent practical experience

10. 8+ years of experience in data center / infrastructure / cloud / hardware environments, with significant work in capacity planning, infrastructure strategy, systems engineering, or large-scale technical planning

11. Demonstrated ability to lead ambiguous, cross-functional problems to decision and execution

12. ability to create structure and drive progress through partners

13. Strong quantitative background: experience building models, performing scenario and sensitivity analysis, and making recommendations under uncertainty

14. Technical fluency across data center domains is sufficient to drive trade-offs and identify bottlenecks (power systems, cooling, facility constraints, and network capacity)

15. Experience in influencing stakeholders and driving alignment across partner organizations without formal authority

16. Hands-on capability with Python and SQL (or equivalent tooling) to build reproducible analysis and planning models

17. Ability to define/validate assumptions, create “single source of truth” datasets/metrics, and productionize analyses through repeatable pipelines (in partnership with DS/DE where needed)

18. Experience working with large, incomplete datasets and ambiguous inputs

19. ability to quantify uncertainty and clearly communicate the impact

**Preferred Qualifications:**

Preferred Qualifications:

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

21. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

22. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

**Public Compensation:**

$184,000/year to $257,000/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

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 accommodations-ext@meta.com.

Posting text as published by Meta.

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Remote Matched in posting text

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Location as listed

Virtual, USA

Pay and work authorization

Stated pay

$184k–257k/yr AI reading of the posting

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