Program Development Manager, Data Center Design and Construction

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• Program Development Manager, Data Center Design and Construction
• Menlo Park, CA
• Data Center Design, Engineering, & Construction
• + 1 more

Join Meta's Data Center Planning & Development team at the forefront of one of the largest infrastructure buildouts in history. As a Program Development Manager, you'll play a pivotal role in shaping the future of Meta's global data center portfolio — driving the planning/preconstruction strategy for both New Build and Lease programs that power AI and billions of connected users.

This is a high-visibility role where your work directly influences multi-billion-dollar investment decisions, GW-scale capacity delivery, and the speed at which Meta can bring new infrastructure online.

• Impact at scale — Decisions to shape a global portfolio measured in gigawatts and billions of dollars.
• Speed & complexity — Meta's infrastructure growth is unprecedented;
• Seat at the table — Direct exposure to VP/Director-level leadership and cross-company strategy.

Program Development Manager, Data Center Design and Construction Responsibilities

• Lead Planning Strategy — Own the end-to-end planning for New Build and/or Lease projects, including cost estimating, site evaluations and procurement/supply chain. Drive strategy to meet capacity demand
• Drive Cost & Schedule Excellence — Develop and maintain programmatic-level budgets and scheduling coordination; identify risks early and present mitigation strategies to leadership
• Capital Expenditure management: Continuous improvement on baseline costs and cash flow projection for all the planning projects. Coordination with the finance team for budget alignment
• Coordinate Cross-Functionally — Serve as the connective tissue between Site Acquisition, Energy, Finance, Capacity planning, Design and Construction (DEC) teams to build an integrated plan of record for each project
• Leasing: Technical analysis of the schedule, cost, and risk assessment for the leasing portfolio
• Shape the Portfolio — Perform strategic analysis of the pipeline to optimize site sequencing, resource allocation, and delivery timelines against GW demand targets
• Influence Decisions at Scale — Present recommendations and trade-off analyses to meet the capacity plan; Study multiple scenarios and drive alignment across pillars on scope, schedule, and budget
• Innovate & Improve — Continuously develop new processes, tools, and frameworks that accelerate delivery and reduce cost across the program

Minimum Qualifications

• 10+ years of experience in commercial construction management — preconstruction, estimating, scheduling, contracting, and cost management
• Demonstrated ability to manage large-scale, complex programs (data centers, mission-critical facilities, or equivalent infrastructure preferred)
• Strong financial acumen — comfortable building and defending budgets at the hundreds-of-millions-dollar scale
• Expert-level scheduling capability (P6, MS Project, or equivalent) with experience in critical-path analysis and schedule risk assessment
• Proven ability to lead without authority across matrixed, cross-functional organizations
• Exceptional communication and presentation skills — ability to distill complex technical information into clear, actionable narratives for executive audiences
• Track record of identifying process improvements and driving them to implementation

Preferred Qualifications

• Familiarity with power/energy procurement timelines and how they intersect with construction delivery
• Knowledge of site selection criteria and due diligence processes
• Experience managing supply chain and procurement at a programmatic (multi-project) level
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Background working with lease/colocation programs in addition to ground-up construction
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience in hyperscale data center development or similar mission-critical infrastructure

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