[Hiring] Area Schedule Lead @Meta

Role Description

We are seeking a candidate for a key leadership role in scheduling for a portfolio of Data Center projects of strategic importance to Meta. The Area Schedule Lead, Leased will act as a technical Schedule subject matter expert overseeing all schedule management and reporting for the Leased portfolio of projects. The successful candidate will have focus on speed to market and be a critical partner for the Delivery Team and the Project Controls Lead to:

• Forecast and help mitigate schedule related risks and issues on the project
• Enable commercial accountability
• Manage schedule health reporting/escalation
• Ensure that schedule change management is effective and expedient

This position will work closely within the DEC Technical Operations team and various internal departments including:

• Site Project Management teams
• Pre-Construction
• Contracts
• Finance
• Accounting
• Sourcing
• Operations Engineering

• Responsible for end to end schedule coordination and updates, including interface with risk management and pro-active communication of updates and alignment of variance root cause/commentary with Cross-functional partners
• Identifies, documents, and communicates schedule risks through defined processes, including Risk Registers, health reviews, and Leased Program management meetings
• Accountable for all aspects of vendor and Contractor schedule management
• Accountable for Contractor baseline schedule development and evaluation during pre-con, including ensuring adherence to program guidance and specifications
• Lead efforts to optimize schedules for speed to market and successful on-time-delivery
• Responsible for application of commercial entitlement for contractor Extensions Of Time (EOT) for their designated portfolio of projects
• Provide leadership to site teams for Delay Tracking, EOT requests and claims
• Responsible for making recommendations that are in line with contract and escalating when site decisions differ from the contractual or program guidance
• Lead the identification and application of Proactive Risk Indicators in sub-area and ensure all risks are properly escalated to Health Reviews, and other appropriate forums
• Lead ad-hoc schedule analysis to support program as required
• Lead a small team of consultants (if required) to support effective schedule management for the designated portfolio of projects
• Approximately 25-50% travel to other Data Center sites and Meta Offices

Qualifications

• 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 and/or other scheduling related methodologies and software
• Experience developing/managing an Owner’s planning/scheduling program
• Experience with Data Center, Infrastructure or Construction programs requiring complicated commissioning specifications
• Demonstrated analytical, communication, problem solving, prioritization, organization and reporting skills
• Experience leading complex project or program planning and coordination amongst a large group of internal and external project stakeholders
• Experience developing and driving actions or operational adjustments based on schedule or project controls performance metrics
• Experience partnering with cross-functional teams to influence strategic direction
• Experience identifying schedule efficiencies and driving programmatic or organizational alignment in changing execution strategies to optimize schedule performance
• Experience negotiating schedule changes or complex construction claims
• Successful development and implementation of scheduling or project controls strategies in a large organization
• Familiar with complex networking systems and electrical infrastructure
• Experience managing a team of Contingent Worker Schedulers
• 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