Preconstruction Manager, Leased - Data Center Design, Engineering, and Construction

Meta Meta · Big Tech · Bellevue, WA +2

Meta is seeking a Preconstruction Manager for their Data Center Design, Engineering, and Construction organization. This role involves managing large-scale commercial agreements, procurement, budgets, scheduling, constructability, and negotiation of mission-critical projects from design kick-off through construction start. The manager will lead program management alignment, reporting, bid leveling, and interface with engineering and supply chain teams. While the core role is in construction management, the posting explicitly mentions requirements for AI skill development and ethical AI practices, indicating an 'Exploring' AI maturity signal within the context of optimizing construction workflows.

What you'd actually do

  1. Responsible for successful execution of large-scale commercial agreements with external partners from design kick off through construction start, including coordination of multiple team inputs, evaluation and allocation of risk, and incorporation of commercially responsible terms into construction contracts.
  2. Lead program management alignment of multiple projects in preconstruction phase, including programmatic cost, schedule, and risk comparison, and alignment of implementation and constructability approaches across several internal stakeholder teams
  3. Manage reporting of project status, risk, budget, and schedule guidance including reporting key performance indicators for projects in the preconstruction / planning stage and presenting to leadership
  4. Provide “bid levelling” to analyze prospective external partner responses by analyzing proposal to ensure scope of work is complete and pricing information is accurate including providing recommendation of successful bidder
  5. Support our build strategy including supply chain analysis, vendor selection and developing a roadmap for procurement and contracts models for new programs

Skills

Required

  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Bachelor’s degree in construction management, or equivalent technical degree and/or minimum 10 years of direct professional experience in Commercial Management, Construction Management or equivalent
  • Experience leading cross-functional teams to align on project scope, schedule, and deliverables through structured communication (e.g., status reports, stakeholder meetings, written proposals)
  • Experience with large capital programs, ground-up construction and greenfield site development as well as retrofit construction
  • Experience in all aspects of Preconstruction: Budget Development, Scheduling, Change Management, Risk Management, Negotiation, and Contract Administration
  • Experience in construction schedules, costs, supply chain analysis, risk analysis, labor markets, project cash flows and commercial contract terms and contract delivery methods
  • General contractor and / or trade contractor experience including field and office

Nice to have

  • Mission Critical/ Data Center experience
  • hyperscale builds
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • 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)
  • International development experience

What the JD emphasized

  • Mission Critical/ Data Center experience is preferred
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • General contractor and / or trade contractor experience including field and office
  • 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