Construction Manager - Data Center Design, Engineering and Construction

Meta

$125K — $150K *
Real Estate & Construction
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in engineering or construction management or equivalent work experience
  • 12+ years in construction management industry
  • Experience with multi-project large-scale construction
  • General knowledge of civil, structural, electrical, and mechanical systems
  • Familiarity with capital budget management and contract administration
  • Strong negotiation skills and problem-solving experience

Responsibilities

  • Manage construction, commissioning, and turnover of a Data Center
  • Oversee project budget and cost change processes
  • Ensure reliable turnover dates through effective schedule management
  • Communicate project status and risks to upper management
  • Negotiate vendor and contractor contracts as necessary
  • Develop cost-saving solutions and identify project savings
  • Support pre-construction efforts for future projects

Benefits

  • Collaborative work environment
  • Exposure to innovative building techniques and technologies
  • Opportunity to work on mission-critical infrastructure projects
  • Professional development in cutting-edge software and AI integration
  • Flexible work arrangements with some travel opportunities
Full Job Description
Manage the construction, commissioning, and turnover of a Data Center within a campus program
• Manage the budget associated with the project
• Manage the cost change process and negotiate best pricing
• Manage the schedule and associated risks to ensure reliable and predictable turnover dates
• Manage warranty and tenant improvement work in the live environment when/as necessary
• Communicate upward regarding the status and risks of the project
• Negotiate vendor and contractor contracts and purchase orders as needed
• Mitigate risk for the project through pre-planning, innovative planning, and partnership
• Develop cost savings solutions and identify project savings/underruns early
• Partner with the General Contractor and other Vendors to build collaborative relationships
• Partner with Internal Cross Functional Partners to build collaborative relationships
• Coordinate needs and asks with the Procurement/Sourcing group(s) to support the needs of the Project
• Support the pre-construction efforts for upcoming projects
• Promote prefabrication strategies
• Support the development of Capital Project Budgets and Constructions ROMs
• Support the Campus Construction Manager with the campus-wide book of work including contractor, designer, and vendor management
• Support the on-site inspection process to ensure a zero punch-list and an expeditious turnover to FacOps
• 10% travel to headquarters and other Meta sites
• Respond on an as-needed basis to emergencies

Minimum Qualifications
• 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

Preferred Qualifications
• Knowledge of industry standards, building codes and safety standards including fire protection regulations
• LEAN Construction knowledge and application of those tools
• Familiar with 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)
• Proficient working knowledge of MS Word, Excel, and PowerPoint
• 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

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