Regional Quality Manager - Data Center Design, Engineering & Construction

Meta Meta · Big Tech · Sarpy County, NE +2 · Remote

This role is for a Regional Quality Manager in Meta's Data Center Design, Engineering & Construction team. The primary focus is on optimizing data center delivery, ensuring projects are on time, safe, robust, and meet quality requirements. Responsibilities include developing and monitoring quality metrics, leading cross-functional teams, overseeing installation and commissioning, mentoring on-site teams, and ensuring effective communication between design, construction, and operations. The role requires extensive experience in QA/QC and commissioning for data centers or mission-critical construction, with a BS in Construction Management or Engineering, or equivalent experience. While the role mentions integrating AI tools and adhering to ethical AI practices, its core function is in traditional construction quality management, not AI/ML development.

What you'd actually do

  1. Develop/monitor quality program metrics to evaluate the project’s performance.
  2. Contribute to building collaborative teams by mentoring and developing the on-site partner construction Quality & Commissioning teams while providing performance signal to contractor leadership
  3. Provide leadership to site quality teams and interface at the highest level between design, construction, and facility operations leadership and the general contractor
  4. Provide direction and feedback to general contractor staff and trade partners on the Quality program
  5. Provide training of personnel to ensure awareness of quality procedures and specific responsibilities in the Quality process

Skills

Required

  • quality control & quality assurance (QA/QC)
  • Commissioning (Commissioning) programs for data centers or mission critical construction projects
  • Design-Build and Design-Bid-Build construction programs
  • civil/structural, building envelope, mechanical, electrical, and Instrumentation and Control (I&C) disciplines
  • leading QA/QC and Cx programs
  • contractor, consultant, and vendor management
  • mission critical power and cooling infrastructure or other critical systems
  • adapting to a hands-on, start-up work environment
  • personnel management, staffing and scheduling
  • Autodesk BIM360 Field and/or ACC Build software
  • Project Management Professional (PMP) or Equivalent Certifications
  • integrate AI tools to optimize/redesign workflows
  • responsible, ethical AI practices
  • ongoing AI skill development
  • prompt/context engineering
  • agent orchestration

Nice to have

  • BS in Construction Management or Engineering or equivalent work experience
  • Travel domestically as needed (anticipated 40-60%)

What the JD emphasized

  • 10+ years of experience in quality control & quality assurance (QA/QC) and/or Commissioning (Commissioning) programs for data centers or mission critical construction projects
  • BS in Construction Management or Engineering or equivalent work experience
  • Experience with Design-Build and Design-Bid-Build construction programs
  • Experience in civil/structural, building envelope, mechanical, electrical, and Instrumentation and Control (I&C) disciplines
  • Experience leading QA/QC and Cx programs
  • Experience in contractor, consultant, and vendor management
  • Experience in mission critical power and cooling infrastructure or other critical systems
  • Experience adapting to a hands-on, start-up work environment
  • Travel domestically as needed (anticipated 40-60%)
  • Experience in personnel management, staffing and scheduling
  • Experience utilizing Autodesk BIM360 Field and/or ACC Build software
  • Project Management Professional (PMP) or Equivalent Certifications
  • 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