Program Development Manager, Data Center Design and Construction
at Meta
Location
Menlo Park, CA
Compensation
$178k–$245k USD
Type
full time
Posted
1 months ago
Market range · company + function + seniority
p25 · target · p75 · n=206
Posted $245k · in the market band
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Job description
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.
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 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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