Data Center Campus Facility Manager

The Data Center Campus Facility Manager (DCCFM) is a critical leadership role accountable for delivering 24/7/365 highly available facility operations across an entire Meta data center campus. This role is at the heart of Meta’s mission to build technologies that bring the world closer together-ensuring the physical infrastructure that powers our global products and services operates safely, reliably, and efficiently.This role leads the facility operations team to safely operate and maintain Meta’s data center physical infrastructure, including all mechanical, electrical, automation, and building systems. The DCCFM drives technical and operational rigor by mentoring technical team members, oversees EHS compliance, utilizes metrics to monitor performance, and partners with leadership to align priorities. As the leader of the facility operations team, the DCCFM fosters a team culture rooted in ownership, continuous improvement, and operational excellence., 1. Establish, mentor, and lead a Facility Operations team responsible for the maintenance and operation of the mechanical, electrical, automation, and building infrastructure on a data center campus

1. Lead in a fast-paced, hands-on, 24/7 operating environment
2. Uphold processes and standards to enable efficiency and effectiveness
3. Partner with Meta Construction and Design teams throughout the build phase (new & retrofit) to ensure operational readiness when turned over to the Facility Operations Team
4. Facilitate a safe work environment, in compliance with Meta’s standards
5. Partner with the Environmental, Health, and Safety Lead on all regulatory compliance, environmental requirements, reporting, and operational programs
6. Manage, mentor, and develop managers and individual contributors
7. Collaborate with counterparts at other sites, centralized teams, and leadership to promote efficiencies and sharing of lessons across the global organization
8. Participate in incident management practices related to the data center, including communication, reporting, root cause analysis, and corrective action plans
9. Oversee critical vendor management and collaborate with utility providers and local authorities
10. Ensure that tooling and automation system interfaces are maintained to ensure the best possible data center performance
11. Ensure that the site operational budget is aligned with financial requirements
12. Respond as needed to after-hours operations and system complications
13. Travel up to 20% with up to 50% travel during the onboarding phase

1. 10+ years of critical operations experience
2. 4+ years of experience in team management within operations or technical environments
3. Experience in personnel and team management, including managing managers or large teams of contractors, in a critical operations environment
4. Experience making decisions with minimal direction
5. Knowledge and understanding of critical power and cooling infrastructures
6. Experience with environmental, health, and safety programs
7. Experience in communicating and presenting complex material effectively
8. Experience in cross-functional, collaborative environments, 1. Experience with enterprise asset management (EAM) systems and computerized maintenance management systems (CMMS)
9. Knowledge of industry standards, building codes, and safety standards, including NFPA and ASHRAE, electrical safety standards
10. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
11. 12+ years of experience in critical facility or data center operations
12. 7+ years of experience in data center environments
13. B.S. in Engineering, construction, or related technical field
14. Experience in managing teams of 30+ people
15. 8+ years of experience in team management
16. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
17. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
18. Experience or training in incident command and response
19. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
20. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)