Site Logistics Operations Lead

Meta Meta · Big Tech · Montgomery, AL +2

This role is for a Site Logistics Operations Lead in a data center environment, focusing on managing and improving logistics operations, inventory, and processes. While the job posting mentions integrating AI tools and ethical AI practices, the core responsibilities and function of the role are not AI/ML development but rather operational management within a data center. Therefore, it is not considered AI-related in terms of the core craft.

What you'd actually do

  1. Lead Site Logistics Operations through project assignment, resource alignment, and prioritization, while coordinating with IBOS manager
  2. Oversee logistics operations at assigned data center site to ensure operations are performed within the IBOS 4S standards (Safety, Security, SOX compliance, Stakeholders)
  3. 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.
  4. Partner with stakeholders external to your assigned data center and serve as the IBOS POC for projects, pilots, and initiatives.
  5. Gather and share feedback from improvement efforts across IBOS and present to leadership as needed

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
  • AI tools integration
  • Ethical AI practices
  • AI skill development

Nice to have

  • Understanding of a start-up environment
  • Adaptive learner
  • Positive attitude
  • Customer service

What the JD emphasized

  • IBOS 4S standards (Safety, Security, SOX compliance, Stakeholders)
  • 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