Equipment and Inventory Planner, Data Center Construction

Meta; San Francisco (CA); On-site; USD 178,000 - 245,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a strategic Equipment and Inventory Planner to lead global demand planning for the Data Center Construction team. You will translate site requirements into a unified DEC Equipment and Material demand plan and coordinate prioritization across active sites.

You will partner with Engineering and ISCE to deliver executive‑level reporting on supply and demand gaps, drive de‑bottlenecking across the supply chain, and help maintain program velocity at scale, including risk registers and

Qualifications

• 10+ years experience in construction or project management or supply chain.
• Bachelor's Degree in Engineering, Finance, or any related field.
• Understanding of contract terms, scheduling, and integration of project libraries.
• Proven experience in cross‑functional leadership communication and collaboration, bridging technical and financial stakeholders.
• Experience synthesizing large datasets and producing analysis to support decision‑making (e.g., demand forecasting, supply‑demand pegging, root‑cause analysis).
• Demonstrated experience developing and driving actions or operational adjustments based on controls performance metrics.
• Strong track record as an individual contributor in supply chain administration, demand planning, and risk management.

Responsibilities

• Lead equipment and material demand planning for all active, planned, optionality, and enablement BOM projects within the Equipment/Material Controls team
• Facilitate prioritization review meetings to address supply‑demand gaps
• Maintain and update standard operating procedures (SOPs) for the team
• Coordinate matrixed communication channels to ensure stakeholder engagement
• Record and assess accepted delays, including their impact on PR dates and key milestones
• Contribute to the BOM design change process for site‑specific design deliverables, ensuring non‑negotiable requests are reviewed and approved or rejected by DC Product Engineers and design stakeholders
• Manage and track changes against Vendor Committed Dates (VCD) and Required On Job (ROJ)
• Analyze and report on root causes of Bill of Material (BOM) changes, collaborating cross‑functionally to address underlying drivers
• Report on critical supply and demand gaps
• Facilitate and communicate the business response to supply‑demand gaps
• Communicate BOM changes resulting from EOR performance during EOR Performance Reviews and Allocation Strategy sessions, focusing on Prime‑related changes
• Prepare executive‑level reports on supply‑demand pegging and influence Long Term Agreement (LTA) limits to enhance future optionality
• Lead the development of the Program Wiki page and document process SOPs in the Knowledge Base
• Integrate findings from Equipment/Material Controls into Project Specific Risk registers
• Track and report lessons learned related to the Equipment/Material Controls process

Skills

Cross-functional leadership

Data analysis for decision making

Demand forecasting

Risk management

Project management

Education

Bachelor's Degree in Engineering/Finance/Related Field

Job description

As a strategic Equipment and Inventory Planner, you will be an integral leader within the Data Center Engineering and Construction (DEC) team, driving global equipment and material demand plan aggregation for our hyper‑scale build program. This critical role is responsible for translating site‑specific requirements into a unified, unconstrained DEC Equipment and Material demand plan, actively aligning internal project needs with complex global market supply chain capacity. You will coordinate high‑stakes equipment prioritization across active sites, partner cross‑functionally with Engineering and Integrated Supply Chain Execution (ISCE) and provide executive‑level reporting on critical supply and demand gaps, facilitating and communicating the business response to those gaps, playing a decisive role in de‑bottlenecking the supply chain and ensuring project velocity at an unprecedented scale.

Equipment and Inventory Planner, Data Center Construction Responsibilities:

• Lead equipment and material demand planning for all active, planned, optionality, and enablement BOM projects within the Equipment/Material Controls team
• Facilitate prioritization review meetings to address supply‑demand gaps
• Maintain and update standard operating procedures (SOPs) for the team
• Coordinate matrixed communication channels to ensure stakeholder engagement
• Record and assess accepted delays, including their impact on PR dates and key milestones
• Contribute to the BOM design change process for site‑specific design deliverables, ensuring non‑negotiable requests are reviewed and approved or rejected by DC Product Engineers and design stakeholders
• Manage and track changes against Vendor Committed Dates (VCD) and Required On Job (ROJ)
• Analyze and report on root causes of Bill of Material (BOM) changes, collaborating cross‑functionally to address underlying drivers
• Report on critical supply and demand gaps
• Facilitate and communicate the business response to supply‑demand gaps
• Communicate BOM changes resulting from EOR performance during EOR Performance Reviews and Allocation Strategy sessions, focusing on Prime‑related changes
• Prepare executive‑level reports on supply‑demand pegging and influence Long Term Agreement (LTA) limits to enhance future optionality
• Lead the development of the Program Wiki page and document process SOPs in the Knowledge Base
• Integrate findings from Equipment/Material Controls into Project Specific Risk registers
• Track and report lessons learned related to the Equipment/Material Controls process

Minimum Qualifications:

• 10+ years experience in construction or project management or supply chain
• Bachelor's Degree in Engineering, Finance, or any related field
• Understanding of contract terms, scheduling, and integration of project libraries
• Proven experience in cross‑functional leadership communication and collaboration, bridging technical and financial stakeholders
• Experience synthesizing large datasets and producing analysis to support decision‑making (e.g., demand forecasting, supply‑demand pegging, root‑cause analysis)
• Demonstrated experience developing and driving actions or operational adjustments based on controls performance metrics
• Strong track record as an individual contributor in supply chain administration, demand planning, and risk management

Preferred Qualifications:

• 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
• Successful development and implementation of controls strategies in a large organization
• PMP Certification or equivalent
• Experience leading complex projects in a hyper‑scaler data center environment

Benefits:

$178,000/year to $245,000/year + bonus + equity + benefits

Equal Employment Opportunity & Disability Accommodations

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 accommodations‑[e-mail].