Site Logistics Operations Specialist (Third Shift)

Summary:

Meta is seeking an experienced Site Logistics Operations Specialist to focus on Data Center Field and Warehouse operations. This person will be responsible for supporting the Site Logistics Operational Leads 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 natural orientation to process analysis and optimization, the understanding of logistics processes and systems, and experience with data analysis and logistics operations.

Required Skills:

Site Logistics Operations Specialist (Third Shift) Responsibilities:

1. Must be available to work 12-hour overnight shifts (6:00 PM – 6:00 AM) for a duration of 6 to 18 months. Following this period, the position will transition to a day shift schedule. Shift Schedules (12-Hour Rotations): Schedule A: Week 1 (Mon–Thu), Week 2 (Mon–Wed)

2. Schedule B: Week 1 (Fri–Sun), Week 2 (Thu–Sun)

3. Oversee logistics operations at assigned data center site to ensure operations are performed within the IBOS 4S standards (Safety, Security, SOX compliance, Stakeholders)

4. Proactively and continuously monitor site logistics operations to identify gaps and create remediation plans as needed

5. 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

6. 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

7. Identify gaps in operations and present solutions to standardize operations across Meta data center sites

8. Build and support cross-functional relationships with internal partners drive effective communication channels supporting operations management

9. Help produce monthly audits of compliance to ensure meeting all inventory controls

10. Support month/quarter and year end requirement to ensure appropriate financial reporting

11. Enable and support IBOS leaders to understand business requirements, implement new processes and contribute to ongoing process improvements

12. Drive inventory reconciliation process to identify risk, manage obsolescence, and correct errors impacting inventory movement

13. Raise the visibility of IBOS field issues that require better systemic controls to central logistics for the development of improved processes

14. Work with field leads, vendors and contract labor to develop and execute action plans in the implementation of these new processes

15. Partner with other Site Logistics Operations Specialists to share best practices, knowledge share, and drive efficiencies

16. Monitor metrics highlighting performance and trends within the data center field and warehouse operations

17. Support the execution of Sarbanes-Oxley requirements, analyze discrepancies and assist teams to develop root cause corrective actions and trend improvements

18. Help define and manage ongoing KPIs to measure process compliance and logistics operations performance

19. Partner in developing shared solutions when inconsistencies are identified

20. 10% travel required

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in supply chain, operations management, business management and/or any other business-related field, or equivalent work experience

2. 5+ years logistics experience overseeing operations, team performance, and SLA adherence

3. Experience with ERP, TMS, CMS, WMS systems – Oracle, Excel or any other analytics tools

4. Communication, problem solving, and interpersonal experience

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

4. Knowledge in Supply Chain process from Procure-to-Pay

5. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

6. Experience handling project management responsibilities (prioritization, planning, scheduling, status reporting)

7. Experience in business analysis/program management

8. Experience in cross-functional projects across multiple teams

9. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

10. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

11. Knowledge with Supply Chain and Inventory management models

12. Experience in a data center environment

Public Compensation:

$115,000/year to $163,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].