Construction Manager - Data Center Design, Engineering and Construction

Meta Meta · Big Tech · Gallatin, TN

This role is for a Construction Manager in Meta's Data Center Design, Engineering & Construction team. The primary focus is on managing the construction, commissioning, and turnover of data centers, including budget, schedule, risk mitigation, and vendor/contractor management. While the role mentions integrating AI tools for workflow optimization and adhering to ethical AI practices, the core responsibilities and deliverables are in construction management, not AI/ML model development or deployment.

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

  • Bachelors in engineering or construction management or equivalent work experience
  • 12+ years of work experience in the construction management industry
  • 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
  • Knowledge of industry standards, building codes and safety standards including fire protection regulations
  • LEAN Construction knowledge and application of those tools
  • Proficient working knowledge of MS Word, Excel, and PowerPoint

Nice to have

  • P6 Procore and eBuilder software experience
  • BIM 360 and Bluebeam software experience
  • MS Visio and SharePoint experience
  • 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