Quality Program Manager, Data Center Design and Construction

Meta; Denver (CO); On-site; USD 150,000 - 210,000; Full time

Job summary

Meta is seeking a seasoned Design, Development, and Delivery (DD&D) Quality Program Manager for the DEC Quality team. You will oversee 3rd Party Quality Agent programs, drive standards, and enable coordination among on-site teams, GCs, EORs, OEMs, and internal stakeholders.

This role requires extensive QA/QC or Cx experience in data centers, a construction/engineering degree, and strong contractor/vendor management skills.

Qualifications

• Extensive QA/QC or Cx experience in data centers or mission-critical facilities.
• BS or higher in construction/engineering, or equivalent work practice.
• Experience with design-build and design-bid-build delivery methods.

Responsibilities

• Oversee and improve the 3rd-Party Quality Agent program across sites.
• Coordinate with on-site teams, GCs, EORs, OEMs, and Design Engineering stakeholders.
• Lead QA/QC and Cx programs and drive KPI-based improvements.
• Integrate AI tools to optimize workflows and deliver measurable efficiency gains.

Skills

QA/QC

Cx / Commissioning

Contractor management

Vendor oversight

AI integration

Education

BS in Construction Management or Engineering

Tools

Autodesk BIM360 Field

Autodesk FORMA

Job description

Meta is seeking an experienced Design, Development, and Delivery (DD&D) Quality Program Manager to join our Data Center Engineering & Construction (DEC) Quality team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently operates, and our innovative services are delivered.

This role is responsible for the oversight, management, and continuous improvement of the 3rd Party Quality Agent program, by establishing programmatic standards, driving accountability, and enabling effective coordination between Meta's on-site teams, 3rd Party Agents, General Contractors (GCs), Engineers of Record (EORs), OEMs, and internal Design Engineering stakeholders.

• Extensive experience in quality control & quality assurance (QA/QC) and/or Commissioning (Cx) 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 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 fast-paced, hands-on work environment
• Familiarity with enterprise-scale data center quality program standards, processes, and tools
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience in personnel management, staffing and scheduling
• Experience operating within cross-functional POD or agile team structures with OKR-based goal-setting
• Project Management Professional (PMP) or equivalent certifications
• Experience utilizing Autodesk BIM360 Field and/or Autodesk FORMA software
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with data-driven program management, KPI development, and performance metrics
• 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 managing third-party quality programs or vendor oversight at a program level
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience collaborating across organizational boundaries and influencing decisions without direct authority across multiple teams and stakeholders
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies