Construction Manager, Data Center Development

Meta; Menlo Park, Miami (CA, FL); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta seeks an experienced Construction Manager to lead delivery of large-scale data center construction projects powering Meta's global infrastructure. You will provide senior oversight across all phases from site prep to commissioning, driving schedule, cost, quality and safety across multi-hundred-million-dollar builds.

Roles demand deep mission-critical facility experience, ability to shape standards, and lead large matrixed teams.

Qualifications

• Experience delivering large-scale data center or mission-critical facilities.
• Experience managing projects >$200M total construction value.
• Strong knowledge of MEP systems in high-availability environments.
• Ability to drive schedules, cost, quality and safety outcomes.
• Familiarity with design-build or at-risk procurement models.
• Experience integrating AI tools to optimize workflows and outcomes.

Responsibilities

• Lead delivery of large-scale data center construction projects exceeding $200M.
• Own construction execution strategy across site preparation to commissioning.
• Drive schedule, cost, quality, and safety across multi-project programs.
• Define and implement construction management standards and delivery frameworks.
• Oversee matrixed teams including GC and major subs.

Skills

Project leadership

Scheduling (CPM)

MEP systems

Quality programs

Safety management

AI integration

Education

CCM / PMP / PE licensure

Tools

CPM software

AI tooling

Job description

Meta is seeking an experienced Construction Manager to lead the delivery of large-scale data center construction projects that power Meta's global infrastructure. In this role, you will provide senior-level oversight across all phases of data center construction — from site preparation and structural work through mechanical, electrical, and plumbing systems installation and commissioning. You will serve as the primary owner of construction execution strategy, driving schedule, cost, quality, and safety outcomes across complex, multi-hundred-million-dollar builds. This role requires deep expertise in mission-critical facility construction and the ability to shape organizational standards, influence long-term program delivery approaches, and lead large, matrixed project teams. 12+ years of experience managing construction of large-scale, mission-critical facilities such as data centers, semiconductor fabs, or industrial process facilities

• Experience leading construction delivery of projects exceeding $200M in total construction value, including direct oversight of general contractors and major subcontractors
• Experience managing complex MEP systems construction and commissioning in mission-critical or high-availability facility environments
• Experience developing and managing construction schedules using critical path method tools and driving recovery plans when milestones are at risk
• Experience defining construction management standards, quality programs, or delivery frameworks adopted across a multi-project portfolio
• Experience delivering hyperscale or colocation data center construction projects at the campus or multi-building program level
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Familiarity with data center electrical infrastructure including medium-voltage switchgear, UPS systems, generators, and high-density power distribution
• Experience with integrated project delivery models, design-build contracting, or construction management at-risk procurement structures
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Professional credentials such as CCM, PMP, or PE licensure in a relevant engineering discipline
• 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
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies