Construction Manager - Data Center Design, Engineering, and Construction

Meta Meta · Big Tech · Miami, FL

Meta is looking for an experienced Construction Manager to oversee the design, engineering, and construction of data centers. The role involves managing project budgets, schedules, risks, vendor contracts, and ensuring efficient operations. The ideal candidate will have a strong background in large-scale construction management, particularly in mission-critical or data center environments.

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

  • Negotiation skills and experience providing solutions to problems
  • Multi-Project experience in large scale construction management, mission critical, infrastructure, and or data center construction
  • Bachelors in engineering or construction management or equivalent work experience
  • 12+ years of work experience in the construction management industry
  • General knowledge of civil, structural, electrical, and mechanical systems
  • Knowledge of capital budget management and contract administration
  • Experience in building datacenters or large commercial type projects preferred
  • 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

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