Estimating Manager, MEP - Data Center

Estimating Manager – Mechanical, Electrical, and Plumbing Systems

Meta is seeking an experienced Estimating Manager specializing in Mechanical, Electrical, and Plumbing systems to join our Data Center Design and Construction team. Our data centres form the backbone of Meta's global infrastructure, and accurate, rigorous cost estimating is critical to delivering these large-scale, mission‑critical facilities on budget and on schedule.

In this role, you will lead MEP cost estimating efforts across the full project lifecycle, from early concept through construction completion, ensuring capital efficiency and informed decision‑making for some of the most technically complex building programs in the industry. In this role, you will develop and manage complex program, project, and system‑level budgets using historical cost metrics, industry benchmarks, market analytics, and hands‑on MEP cost estimating expertise.

Experience required:

• 10+ years of experience in MEP cost estimating for large‑scale commercial, industrial, or mission‑critical construction projects
• Experience developing detailed quantity takeoffs and cost estimates for mechanical and electrical systems in data center or similar critical facility environments
• Experience with estimating software platforms such as Timberline/Sage Estimating, Win Est, or equivalent MEP‑focused cost tools
• Experience in managing and reconciling estimates across multiple concurrent projects and project phases
• Experience collaborating with engineering design teams to interpret MEP drawings, specifications, and equipment schedules for cost development
• Experience in managing vendor relationships and working with stakeholders, both internal and external, to gather technical project requirements to inform costs
• Experience with AI network fiber systems
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• 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 estimating workflows and drive measurable improvements in estimate accuracy and cycle time
• Familiarity with LEAN construction principles and their application to MEP prefabrication and modular delivery strategies
• Experience with hyperscale or colocation data center MEP systems, including chilled water, direct evaporative cooling, medium‑voltage electrical distribution, and backup power infrastructure
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)