Construction Manager - Data Center Design, Engineering, & Construction

Meta Meta · Big Tech · Bowling Green, OH +1

Construction Manager for Meta's Data Center Design, Engineering, & Construction team. Responsibilities include managing construction, budget, schedule, risks, vendor contracts, and ensuring safety and efficiency. The role requires experience in large-scale construction management and knowledge of civil, structural, electrical, and mechanical systems. A key aspect is the demonstrated ability to integrate AI tools to optimize workflows and drive impact, adhering to ethical AI practices and maintaining ongoing AI skill development.

What you'd actually do

  1. Manage the construction, commissioning, and turnover of a Data Center within a campus program
  2. Manage the budget associated with the project
  3. Manage the cost change process and negotiate best pricing
  4. Manage the schedule and associated risks to ensure reliable and predictable turnover dates
  5. Manage warranty and tenant improvement work in the live environment when/as necessary

Skills

Required

  • 7+ years of work experience in construction management
  • Multi-Project experience in large scale construction management, mission critical, infrastructure, and or data center construction
  • General knowledge of civil, structural, electrical, and mechanical systems
  • Knowledge of capital budget management and contract administration
  • Negotiation skills and experience providing solutions to problems
  • 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

Nice to have

  • Bachelor’s degree strongly preferred, may consider equivalent experience
  • LEAN Construction knowledge and application of those tools
  • Building Environment Accreditations (i.e. LEED, SITES, TRUE, WELL)

What the JD emphasized

  • 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