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, and 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 and Operations Engineering.
Responsibilities
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. Will 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