Area Schedule Lead, Mega Campus

Meta Meta · Big Tech · Bowling Green, OH +1

This role is primarily focused on construction schedule management and operations support for a Mega Campus. While it mentions integrating AI tools for optimization and adhering to ethical AI practices, the core responsibilities and required skills are in traditional project controls and scheduling, not in building or directly applying AI/ML models. The AI mentions appear to be about using existing AI tools rather than developing AI capabilities.

What you'd actually do

  1. Technical lead in Schedule Controls on campus on the specified Mega Campus including Baseline schedule reviews, schedule updates & reporting, E2E Schedule updates and internal coordination reviews, IMS schedule updates and execution team coordination reviews, schedule change management/Extension of Time (EOT) approval, delay tracking, schedule metric/quality, schedule delay mitigation, and risk facilitation
  2. Responsible for application of commercial entitlement for schedule changes and Extension of Time (EOT) in their region.
  3. Provide leadership to site teams, Project Controls Analysts and CW Schedulers for Delay Tracking, Extension of Time (EOT) requests and claims.
  4. Coordinate the change evaluation in collaboration with the cost team as part of the CCAM review process.
  5. Responsible for making recommendations that are in line with the contract and escalating when site decisions differ from the contractual language

Skills

Required

  • 10+ years of Planning, Scheduling, Construction Management, or Related field experience
  • Bachelor’s degree in Engineering, Construction Management, or Equivalent Technical Field or related field experience
  • Subject Matter Expert in Primavera P6, Microsoft Project, Smartsheets, Lean Planner, TAKT Planning, and other scheduling related methodologies & software
  • Experience in Earned Value Management, Resource Loaded Schedules, or collection and analysis of resource data
  • Experience developing/managing an Owner’s planning/scheduling program
  • Experience in Data Center, Manufacturing, Infrastructure or Construction programs requiring complicated commissioning specifications
  • Demonstrated analytical, communication, problem solving, prioritization, organization and reporting skills

Nice to have

  • Demonstrated experience leading a team of project con

What the JD emphasized

  • 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