Site Logistics Operations Specialist

Meta; Houston (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Meta seeks an experienced Data Center Site Logistics Operations Specialist to support data center logistics operations across America’s Data Center locations. You will lead with on-site program managers, influence IBOS strategy, and partner with stakeholders to implement scalable processes with analytics and inventory consistency across Meta’s distributed data center network.

The role requires deep understanding of logistics, cost analysis, data analysis, and project management in a fast-paced

Qualifications

• Bachelor’s degree or equivalent work experience in supply chain/operations management or related field.
• 7+ years experience in data center logistics or production IT environments.
• Experience in business analysis and program management.
• Experience with as-is/to-be business process mapping and data analysis.
• Strong cross-functional collaboration and communication with stakeholders and leadership.
• Experience with project prioritization, planning, scheduling, and status reporting.
• Knowledge of AI concepts and ability to integrate AI tools to optimize workflows.

Responsibilities

• Lead implementation of consistent, repeatable, scalable logistics processes with analytics across data center operations.
• Maintain inventory consistency across a distributed network of data center locations.
• Partner with IBOS Site Leaders, Regional Managers, and process teams, influencing strategy and inputs.

Job description

Meta is seeking an experienced Data Center Site Logistics Operations Specialist in support of data center logistics operations at America’s Data Center locations. This position will be responsible for working closely with the unique on-site program managers in their respective partner organization supporting logistics operations. This position will possess influence on IBOS (Infrastructure Business Operations Support) strategy and inputs while working closely with other IBOS teams. The Site Logistics Operations Specialist will work closely with stakeholders across the entire Data Center ecosystem, internal and external. This role will take the lead in implementing consistent, repeatable, and scalable processes with associated analytics across the operation. Additionally, this individual will maintain consistency of inventories in the widely distributed network of data center locations supporting Meta. This is a highly visible position which requires understanding of logistics processes and systems, financial cost analysis, and experience with data analysis and project management.

We are looking for someone who understands data center operations at a tactical, operational and strategic level and the role that IBOS field operations plays in supporting data centers. This candidate will partner and work closely with the other IBOS Site Leaders, Regional Managers, central operations teams, and process integration teams while working cross-functionally with internal customers/partners at their local data center.

Bachelor’s degree in supply chain, operations management, business management and/or any other related field, or equivalent work experience7+ years experience in data center logistics, production IT or similar environment7+ years experience in business analysis/program managementExperience in as-is/to-be business process mapping, gap analysis, requirements elicitation and data analysisExperienced in cross-functional collaboration across multiple teamsExperience working independently and managing timeExperience handling project management responsibilities (prioritization, planning, scheduling, status reporting)Experience communicating project status, risks, and recommendations to cross-functional stakeholders and leadershipKnowledge in Supply Chain process from Procure-to-Pay Adaptive learner, positive attitude, and focused on customer serviceUnderstanding of a fast-paced, rapidly evolving environmentDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience 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)