Meta is seeking an experienced Logistics Operations Specialist to focus on Data Center Field and Warehouse operations. This person will be responsible for supporting the Site Logistics Operations Lead to develop and implement consistent processes and oversee third party logistics teams at their assigned data center. This position requires communication skills, collaboration, prioritization skills, a proven track record exposed to process analysis and optimization, the understanding of logistics processes and systems, and experience with data analysis and logistics operations.
Responsibilities
Oversee logistics operations at assigned data center site to ensure operations are performed within the 4S standards (Safety, Security, SOX compliance, Stakeholders) Proactively and continuously monitor site logistics operations to identify gaps and create remediation plans as needed Plan and coordinate with third party logistics provider lead at the assigned data center to ensure site logistics requirements are met or exceeded. Work closely with third party lead to develop logistics support plans to include inventory accuracy, inventory movement and distribution, server rack movements, shipping and receiving, and any other processes as needed Identify gaps in operations and present solutions to standardize operations across Meta data center sites Develop, refine, and maintain documentation that captures and distributes the processes and policies for executing safe, effective, and efficient logistics operations within Meta data centers Build and support cross-functional relationships with internal partners drive effective communication channels supporting operations management Help produce monthly audits of compliance to ensure meeting all inventory controls Support month/quarter and year end requirement to ensure appropriate financial reporting Enable and support leaders to understand business requirements, implement new processes and contribute to ongoing process improvements Drive inventory reconciliation process to identify risk, manage obsolescence, and correct errors impacting inventory movement Identify and implement process improvement and efficiency efforts at assigned data center and warehouse locations Raise the visibility of IBOS field issues that require better systemic controls to central logistics for the development of improved processes Work with field leads, vendors and contract labor to develop and execute action plans in the implementation of these new processes Partner with other Site Logistics Operations Specialists to share best practices, knowledge share, and drive efficiencies Monitor metrics highlighting performance and trends within the data center field and warehouse operations Support the execution of Sarbanes-Oxley requirements, analyze discrepancies and assist teams to develop root cause corrective actions and trend improvements Help define and manage ongoing KPIs to measure process compliance and logistics operations performance Partner in developing shared solutions when inconsistencies are identified 10% travel required
Qualifications
Bachelor’s degree in supply chain, operations management, business management and/or any other business-related field, or equivalent work experience 5+ years logistics experience overseeing operations, team performance, and SLA adherence Experience working independently, prioritizing, and managing one's time Experience with ERP, TMS, CMS, WMS systems – Oracle, Excel or any other analytics tools Communication, problem solving, and interpersonal experience Experience handling project management responsibilities (prioritization, planning, scheduling, status reporting) Knowledge in Supply Chain process from Procure-to-Pay Experience in business analysis/program management Knowledge with Supply Chain and Inventory management models Experience in a data center environment Experience in cross-functional projects across multiple teams 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