
location_onPreston Funeral Home, Dickinson Street, Charleston, Kanawha County, West Virginia, 25301, United States
Meta is seeking an experienced Construction Manager to join our Data Center Engineering & Construction Team. Our data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Building and operating data centers the "right" way is synonymous with ensuring high uptime, capacity availability, and capital conservation.
The data center engineering team thinks from chip to chiller (or electrical substation), determining configurations and ensuring maximum efficiency of our compute infrastructure. We foster a culture of continuous improvement, partnership, and teamwork, modeling openness to giving, seeking, and receiving 360-degree feedback.
Work model: On-site
Preston Funeral Home, Dickinson Street, Charleston, Kanawha County, West Virginia, 25301, United States
Charleston, West Virginia
Skills: P6, Google Workspace, Bluebeam, Unifier, Procore, Bim 360, MS Visio, Google Cloud, Leed, Sites.
Education: Bachelor's degree in Construction Management, Civil Engineering or equivalent degree.
Bachelor's degree in Construction Management, Civil Engineering or equivalent degree and/or minimum of 12 years direct experience in project planning and construction management. Construction Management experience in the Lease/Colo market and live environment retrofit scopes of work. Experience reviewing/editing lease agreements, amendments and work letters. Connectivity Cabling and Data Center Construction Experience. Multi-Project experience in large scale construction management, mission critical or infrastructure. Unifier software experience. Procore software experience. BIM 360 software experience. MS Visio and Google Cloud experience. Building Environment Accreditations (i.e. LEED, SITES, TRUE, WELL). Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact. Experience adhering to and implementing responsible, ethical AI practices. Demonstrated ongoing AI skill development and staying current with emerging AI technologies.