Data Center Development Manager

Meta

$120K — $150K *
Real Estate & Construction
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a related field or equivalent experience
  • 5+ years of site development or large-scale project experience
  • Experience managing multiple projects with varied stakeholders
  • Familiarity with project management tools and software like Google Suite and Excel
  • Advanced technical degree, law degree, or MBA (preferred)

Responsibilities

  • Drive the entitlements process for accurate site permits creation
  • Lead diligence to assess site risks and opportunities
  • Organize communications and track project delivery progress
  • Align internal stakeholders on site development efforts
  • Support project recommendation preparation for management
  • Assist in the strategy development for data center locations
  • Monitor ongoing site development and manage agreements
  • Develop tools and processes to improve site development efficiency

Benefits

  • 25-50% travel requirement
  • Opportunities for career development in large infrastructure projects
  • Collaborative work environment with diverse stakeholders
  • Exposure to cutting-edge AI technologies and practices
Full Job Description
Drive the entitlements process (e.g., zoning, land use permitting) to ensure accurate and timely submission and execution of the necessary site entitlements and permits to meet project timelines
• Lead the diligence and development process to vet prospective sites and assess site risks and opportunities by analyzing regional and site - specific information pertaining to (i) permitting and land use data (ii) information regarding federal, state and local taxes and incentives (iii) data on energy (including renewable energy), water and wastewater availability and cost (iv) network connectivity (v) natural hazard, floodplain and climatological data (vi) legal, physical risk and financial implications
• Take the lead role in organizing communications by creating scalable processes with and tracking progress towards on-time delivery of projects by key internal and external stakeholders in support of the site selection effort, including capacity planning, data center design and construction, external consulting partners, network engineering, legal, tax, policy and finance
• Work with Site Selection Manager and other key project team members to ensure alignment among all internal stakeholders and to find smart ways to overcome obstacles in the site development process
• Support the preparation of project recommendations for presentation to management for approval
• Support the development of Meta's near and long-term data center location and leased portfolio strategy
• Support a portfolio of existing sites under construction or in operations to facilitate on time and quality delivery and development of the site that meets permit requirements and local expectations
• Track and monitor ongoing site development including agreement management
• Develop scalable, efficient tools and processes to improve delivery and communication for data center site development
• This role requires 25-50% travel

Minimum Qualifications
• Bachelor's degree in a directly related field, or equivalent practical experience
• Bachelor's degree in Business, Planning, Engineering, Science or Environmental management
• 5+ years of site development experience, or equivalent experience managing large scale, complex infrastructure projects
• Experience in managing multiple projects and coordinating with internal staff and external consultants, vendors and other stakeholders
• Experience with a range of project management tools and software, (eg. Google Suite, Excel, project management software, PowerPoint, etc)

Preferred Qualifications
• Experience in large and complex infrastructure projects
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Advanced technical degree, law degree, or MBA
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience with planning, land use diligence and engineering, and entitlements processes

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