Program Development Manager, Capacity Planning - Data Center Construction

Meta Meta · Big Tech · Menlo Park, CA

Meta is seeking a Program Development Manager for its Data Center Construction team. This role will lead the planning and preconstruction strategy for new build and lease programs that support AI infrastructure and global connectivity. Responsibilities include cost estimating, constructability reviews, scheduling, procurement strategy, cross-functional coordination, and strategic pipeline analysis. The ideal candidate will have 10+ years of experience in commercial construction management, strong financial acumen, expert scheduling skills, and the ability to lead without authority. Experience integrating AI tools to optimize workflows, adhering to ethical AI practices, and developing capacity planning tooling is also required.

What you'd actually do

  1. Lead Planning Strategy — Own the end-to-end planning for New Build and Lease projects, including cost estimating, constructability reviews, scheduling, and procurement/supply chain strategy
  2. Drive Cost & Schedule Excellence — Develop and maintain programmatic-level budgets and master schedules; identify risks early and present mitigation strategies to leadership
  3. Coordinate Cross-Functionally — Serve as the connective tissue between Site Acquisition, Energy, Design Engineering, and Construction teams to build an integrated plan of record for each project
  4. Shape the Portfolio — Perform strategic analysis of the pipeline to optimize site sequencing, resource allocation, and delivery timelines against GW demand targets
  5. Innovate & Improve — Continuously develop new processes, tools, and frameworks that accelerate delivery and reduce cost across the program

Skills

Required

  • Bachelor's degree in a directly related field, or equivalent practical experience
  • 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
  • Experience identifying process improvements and driving their implementation to accelerate delivery or reduce cost
  • 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)
  • Experience with hyperscale data center capacity planning
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience leading capacity planning programs that span multiple infrastructure domains simultaneously, such as compute, networking, and power or cooling
  • Experience developing or specifying requirements for capacity planning tooling, demand forecasting platforms, or supply chain management systems

What the JD emphasized

  • 10+ years of experience in commercial construction management
  • Demonstrated ability to manage large-scale, complex programs (data centers, mission-critical facilities, or equivalent infrastructure preferred)
  • Expert-level scheduling capability (P6, MS Project, or equivalent) with experience in critical-path analysis and schedule risk assessment
  • 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)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience leading capacity planning programs that span multiple infrastructure domains simultaneously, such as compute, networking, and power or cooling