Connectivity Integration Lead

Meta is seeking an experienced Connectivity Integration Lead to join our Data Center Design, Engineering, & Construction (DEC) Operations Team. Our Infrastructure family builds, operates, leases and retrofits Meta data centers in service to the Meta family of Apps. The broader DEC organization, which includes the Delivery Construction Management (CM) organization, oversees the construction execution for our Data Center fleet, including new build (greenfield), retrofit (live environment changes), Leased and onsite fiber installations (trunk to top of rack) through to the handover of data halls for provisioning. Our data centers are the foundation for our innovative services and rapidly scaling infrastructure, connecting the world to the information stored on Meta's server banks. The Connectivity Integration Lead (CIL) reports to the Connectivity Integration Manager and serves as the DEC Connectivity subject matter expert (SME) supporting multiple data centers across the programmatic portfolio of sites. This critical role ensures standardized builds, risk identification and mitigation, captures lessons learned, and provides training and onboarding to both internal and external resources. The CIL is a mentor, providing expertise in DEC telecommunication design, standards, products, quality, operations, tooling, and vendor management to the field. The CIL may support 6-8 sites/regions, and will require travel, up to 50% time, to ensure effective support and collaboration across the portfolio. A consistent focus on execution is essential, prioritizing team health, project success, financial stewardship, and effective partnership within our matrixed DEC organization.

Responsibilities

• Provide support to Site Teams for the planning, procurement, and execution of the connectivity scope, from installation commencement to Server Ready dates and through the transition to Operational Partners
• Ensure clear, concise, and timely communication to the broader organization regarding any impact on capacity delivery, correctly elevating issues for awareness and escalating as needed for leadership action
• Drive the embedment and design integration of new and existing Connectivity Systems across the program/portfolio
• Contribute significantly to the Preconstruction planning for New Build and Retrofit projects
• Collaborate with multiple cross-functional stakeholders, including Engineering, Delivery, Network Hardware, Infrastructure Enablement, Edge Network Services, and others, to drive cohesive program execution
• Provide timely feedback to DEC Engineering and DEC Design on project deliverables, including Design documents, specifications, BOMs, system requirements, and other artifacts necessary for successful implementation by site delivery teams
• Offer support and guidance to the project team during connectivity scope execution, including best practices, quality reviews, systems testing, and auditing
• Monitor and report on the performance of both Meta-contracted and General Contractor-contracted Telecom Contractors and the General Contractor's performance for connectivity scope
• Assist the Site Team in facilitating changes, including the addition of TechMods, system requirement changes, or business-requested changes
• Review and approve contracts and Change Orders within signing authority, and review/advise on those above signing authority
• Coordinate efforts with other Connectivity Integration Leads to ensure consistency and alignment of priorities and sharing Lessons Learned and Best Practices
• Ensure the timely and appropriate resolution of issues across the sites
• Oversee the onboarding of Connectivity Engineers and support recruitment, interviewing, and hiring decisions across the portfolio
• Develop high-impact relationships with internal and external cross-functional stakeholders to identify opportunities for process optimization and create strategy across the Portfolio
• Request and provide fast feedback when appropriate to support the continuous improvement of projects, partners, and peers

Minimum Qualifications

• 8+ years of experience in structured cabling, including managing vendors in hyperscale data centers, large-scale construction, and/or other related fields
• Proven track record of managing the delivery of quality structured cabling installations in hyperscale data centers
• Ability to prioritize, rapidly change direction, and adapt as needed to support a rapidly growing business model
• Experience communicating and presenting technical information to diverse stakeholders, negotiating contracts or scope changes, and collaborating with cross-functional teams, and the ability to collaborate with cross-functional teams to provide solutions to complex problems in time-sensitive situations
• Experience creating and driving strategic initiatives across a global portfolio
• Experience training and mentoring others on technologies, installation methods, products, and processes Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience managing IT or IP Network deployment projects in a mission-critical environment, requiring coordination across multiple disciplines for the delivery of a common goal
• Experience in leading deployments of Network/Structured cabling infrastructure at scale
• Proven skills and understanding of hyperscale network topography and design principles
• 10+ years of experience in structured cabling installation, data center development, and/or construction management experience
• Advanced Degree in engineering and/or business administration
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience in data center engineering, design, commissioning, operations, telecommunications, network infrastructure, and ground-up new build site development and construction, as well as retrofit work in live environments
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)