Facility Support Lead

Meta is seeking a Facility Support Lead to join our Data Center Facility Operations (FacOps) team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Facility Support Lead oversees the business functions of the facility operations teams. The position's main functions are to provide vendor and supplier management, manage the campus facility operations' budget, liaise with partner teams, support business improvement processes and assessments, support compliance programs and implement business directives. This role serves as a campus leader by driving strong team collaboration and operational excellence and by assisting local leadership in monitoring and managing organizational health. The successful candidate will possess data center, corporate real-estate, or other critical infrastructure industry experience overseeing the management of third-party contracts and resources for maintenance and operations.

Responsibilities

Plan, develop, and administer the facility operating budget. Support, consult and advise campus facility team on matters of financial health
Provide vendor management support including budget execution, routine business reviews, contractor provisioning, financial and invoice management and ensuring work quality meets contractual and operational standards
Oversee a contracted technician workforce responsible for facility maintenance and ensuring safe operations within agreed upon SLAs. Provide oversight and direction for all duties assigned to contracted technician workforce
Provide property management oversight including, but not limited to, the quality delivery of data center campus housekeeping, furniture, landscaping and site maintenance services
Act as a liaison to culinary and micro-kitchen teams, including the start-up/establishment of new buildings and new locations
Report directly to the Data Center Campus Facility Manager (DCCFM) providing oversight and direction on support functions affecting physical infrastructure required throughout the campus
Support and advise the implementation of business and operational standards to ensure compliance with policies, regulations, and performance criteria
Liaise with external regulatory agencies, company insurance agents, and third-party consultants
Support partners and peers in cross-functional work and onboarding
Develop cross-functional relationships with all onsite teams to improve and enhance operations
Develop reports utilizing data and metrics for campus budgets, vendor management and organizational health for local leadership teams

Qualifications

8+ years of experience working in large-scale facilities or critical infrastructure management
Experience in budget development and management
Experience in vendor and contract management
Experience in communicating and presenting complex material effectively
Experience in cross-functional, collaborative environments
Experience with complex problem identification and resolution techniques, including causal analysis
Proven time management, organization, and prioritization skills 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
Experience with data center industry or critical infrastructure
Experience in facilities operations support functions
Excellent customer service recognition from multiple customers
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)
Experience in project management