Mega-site Construction Manager

Meta Meta · Big Tech · Rayville, LA +2

Meta is seeking an experienced Construction Manager to join their Data Center Design, Engineering & Construction team. The role involves managing the construction, commissioning, and turnover of data centers, including budget, schedule, and vendor contracts. The position requires a strong understanding of construction management principles and experience with large-scale projects. While the role is primarily focused on construction management, it also emphasizes the integration and application of AI tools to optimize workflows and ensure ethical AI practices.

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. Communicate upward regarding the status and risks of the project

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