Data Center Central Planning Manager

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.Data Center Central Planning Manager Responsibilities: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 milestonesBuild and maintain quantitative planning models (supply/demand, scenario analysis, sensitivities, bottleneck identification, schedule-risk and uncertainty modeling) to support prioritization and sequencing decisionsTranslate 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 constraintsAssess 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 teamsDevelop decision packages and narratives: synthesize analyses into clear trade-offs and recommendations (cost, schedule, reliability, operability, risk), explicitly calling out assumptions and sensitivitiesPartner with senior stakeholders by aligning pre-reads, surfacing key risks early, and supporting decision-making in planning forums—maintaining strong technical credibility with engineering partnersDrive cross-functional execution: align dependencies, track closure of gaps, manage escalations as needed, and support planning governance (cadence, documentation, model hygiene)Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceBachelor’s degree in Engineering, Computer Science, Applied Math, Physics, Operations Research, or equivalent practical experience8+ years of experience in data center / infrastructure / cloud / hardware environments, with significant work in capacity planning, infrastructure strategy, systems engineering, or large-scale technical planningDemonstrated ability to lead ambiguous, cross-functional problems to decision and executionability to create structure and drive progress through partnersStrong quantitative background: experience building models, performing scenario and sensitivity analysis, and making recommendations under uncertaintyTechnical fluency across data center domains is sufficient to drive trade-offs and identify bottlenecks (power systems, cooling, facility constraints, and network capacity)Experience in influencing stakeholders and driving alignment across partner organizations without formal authorityHands-on capability with Python and SQL (or equivalent tooling) to build reproducible analysis and planning modelsAbility to define/validate assumptions, create “single source of truth” datasets/metrics, and productionize analyses through repeatable pipelines (in partnership with DS/DE where needed)Experience working with large, incomplete datasets and ambiguous inputsability to quantify uncertainty and clearly communicate the impactPreferred Qualifications:Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.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 View email address on click.appcast.io.$184,000/year to $257,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr Jobleads-US