Area Project Controls Lead, Leased

Meta Meta · Big Tech · Menlo Park, CA +1 · Remote

This role is for an Area Project Controls Lead for leased data center facilities, focusing on cost controls, financial integrity, and commercial performance. While the role mentions integrating AI tools and developing AI skills, its core function is project controls within a construction and infrastructure context, not the direct development or deployment of AI models or systems.

What you'd actually do

  1. Serve as technical lead for cost controls across a portfolio of leased data center projects, including budget management, forecasting, change management diligence, invoice review, accruals, and risk facilitation
  2. Develop and maintain project controls strategies and operational frameworks tailored to the leased data center delivery model, including landlord-driven construction and third-party general contractor oversight
  3. Analyze and communicate project controls health across cost, change, and risk dimensions to project and Design, Engineering, and Construction leadership
  4. Identify and drive resolution of commercial risk mitigation opportunities in collaboration with Schedule Leads, Delivery teams, and cross-functional partners
  5. Support Preconstruction teams in reviewing lease agreements, landlord construction contracts, and commercial terms, incorporating historical data and master contract provisions into internal budget management

Skills

Required

  • construction project controls
  • cost management
  • change order administration
  • risk management
  • leading or managing teams
  • partnering with cross-functional teams
  • budget development
  • cost forecasting
  • earned value management
  • financial reporting
  • project controls strategies
  • leased or co-location data center facilities
  • Oracle Unifier or comparable platforms
  • negotiating construction change orders
  • complex commercial claims

Nice to have

  • AI tools to optimize/redesign workflows
  • AI skill development
  • ethical AI practices

What the JD emphasized

  • AI tools to optimize/redesign workflows
  • AI skill development
  • ethical AI practices