Site Logistics Operations Lead

Meta Meta · Big Tech · Rayville, LA +2

This role is for a Site Logistics Operations Lead in a data center environment. The primary focus is on managing and improving logistics processes, inventory control, and cross-functional collaboration. While the role mentions integrating AI tools and ethical AI practices, these are described as optimization or development aspects rather than the core function of building or researching AI models. The core responsibilities revolve around traditional logistics and operations management.

What you'd actually do

  1. Lead Site Logistics Operations through project assignment, resource alignment, and prioritization, while coordinating with IBOS manager
  2. Serve as the main point of contact for the IBOS team at their respective data center, partnering with cross-functional teams and driving the Circle of Leadership discussion from IBOS.
  3. Facilitate an environment allowing Logistics Operations Specialists to conduct all day-to-day aspects of material movement including: shipping and receiving, inventory management, and cycle counting of all consigned and Meta-owned inventory throughout the region
  4. Ensure production and monthly audits are in compliance with all SLA requirements, ensuring all inventory controls across the data center
  5. Manage suppliers, materials, and inventory in a manner consistent with the requirements of Meta

Skills

Required

  • data center logistics
  • production IT
  • business analysis
  • program management
  • as-is/to-be business process mapping
  • gap analysis
  • requirements elicitation
  • data analysis
  • cross-functional collaboration
  • independent work and time management
  • project management
  • Communication
  • problem-solving
  • interpersonal skills
  • Supply Chain process from Procure-to-Pay
  • data center operations
  • AI tools integration
  • responsible, ethical AI practices
  • AI skill development

Nice to have

  • prompt/context engineering
  • agent orchestration

What the JD emphasized

  • understanding of logistics processes and systems
  • experience with data analysis and project management
  • understands data center operations at a tactical, operational and strategic level
  • 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