Planning Lead

Meta is seeking an experienced Construction Planning Lead to join our design, engineering, and construction organization supporting data center and large-scale infrastructure development. In this role, you will drive early-phase planning activities from site due diligence through handoff to preconstruction teams, shaping the cost, schedule, and constructability strategy for hyperscale capital programs. You will collaborate with cross-functional teams spanning site selection, energy, product design, and delivery to establish project targets and critical path frameworks that enable confident, on‑time break ground decisions.

• Bachelor's degree in a directly related field, or equivalent practical experience
• 10+ years of direct professional experience in construction management, preconstruction, commercial management, engineering, or construction scheduling for large-scale capital projects
• Experience with hyperscale or mission‑critical data center construction, including ground‑up greenfield development and retrofit projects
• Experience developing and managing construction schedules using P6 or equivalent scheduling tools, with applied knowledge of critical path analysis and construction interdependencies
• Experience across all aspects of preconstruction including site development, budget development, change management, risk management, and contract delivery methods
• Experience leading cross‑functional coordination across internal and external teams to drive alignment on project scope, schedule, and cost targets
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Professional Engineer license in mechanical, electrical, or civil engineering, or certification in Project Management or construction scheduling
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Familiarity with new product introduction processes for data center infrastructure, including coordination between engineering product development and construction delivery teams
• Experience integrating AI or automation tools into planning workflows to improve schedule accuracy, scenario modeling, or reporting efficiency
• Experience with financial modeling including total cost of ownership, net present value analysis, and return on investment frameworks applied to large capital programs