Supply Chain Analyst, Planning & Systems

Meta•Menlo Park, CA

16h•$152,000 - $214,000

About The Position

Global IT Supply Chain owns planning, sourcing, fulfillment, and lifecycle management of the IT hardware used by Meta’s full-time and contingent workforce worldwide. Its goal is to provide a consistent employee technology journey at predictable cost. The Supply Chain Analyst, Planning & Systems is the business owner of the planning and procurement system stack, including advanced planning systems such as o9, product lifecycle management, procurement, EDI integrations, and reporting. The role owns the stack’s configuration, governance, availability, and enhancement roadmap, as well as the master data that supports planning and procurement. The position has three core mandates: keep the system stack configured, governed, and available; increase asset utilization so demand is met from the existing fleet before new purchases are made; and bring new and 0-1 businesses into the standard planning and procurement model. The role requires data-backed recommendations, stakeholder alignment, end-to-end expertise, extensible solutions, influence over technical design, and prioritization across customer groups without direct authority. Some parts of the scope are not yet defined, so the role will establish milestones, clarify ownership, and set metric targets.

Requirements

Bachelor’s degree in a directly related or supply chain-related field, or equivalent practical experience.
At least 7 years of experience owning planning operations and processes, procurement, or master data systems in an enterprise environment.
Domain expertise in supply chain planning operations and procurement systems.
Hands-on experience owning master data or planning attribute governance, including definitions, parameters, and sourcing rules used by forecasting, replenishment, and purchasing.
Working knowledge of demand and supply planning, forecast and replenishment logic, inventory and item lifecycle, purchase order flow, and EDI or system-to-system integration.
Experience defining and enforcing change control, testing, or data-quality standards adopted by teams outside the role’s direct control, and holding those teams to committed outcomes.
Technical fluency in systems and data requirements, including data models, integration contracts, and metric definitions; ability to analyze complex data across programs and translate it into actionable outcomes.
Ability to explain technical problems using data and analysis, provide detailed feedback and solutions, and share technical knowledge and best practices with cross-functional partners.
Ability to work independently and influence technical design outcomes in cross-functional settings.
Ability to prioritize across regional planners, demand planning, lifecycle, warehouse operations, order management, Finance, and incoming program owners without direct authority over them.

Nice To Haves

Practitioner knowledge of enterprise IT hardware supply chain or employee technology provisioning at global scale.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and achieve measurable impact, such as efficiency gains or quality improvements.
Experience with excess and obsolete inventory monitoring, functional shelf-life policy, or fleet refresh and redeployment economics.
Hands-on experience with an advanced planning system implementation or migration from the business side rather than the vendor side.
Experience establishing a planning or procurement model for a new or 0-1 business and then retiring the exception into standard practice.
Experience building a self-service reporting or data-access layer that measurably reduced ad hoc request volume.
Experience defining AI or agentic use cases in an operational environment and following responsible AI practices, including risk assessment, fairness evaluation, and quality and accuracy reviews.
Ongoing AI skill development, such as prompt or context engineering and agent orchestration, and staying current with emerging AI technologies.
Combined technical and business background, blending data and systems fluency with ROI reasoning and change management.
Experience implementing responsible and ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.

Responsibilities

Own the planning and procurement system stack as its business owner, including configuration, solution design, enhancements, release and regression testing, and operational support for users.
Own planning attribute and master data governance, including item and part attributes, planning parameters, sourcing rules, calendars, substitutions, and item pools.
Maintain planning-system availability through incident intake, triage and resolution, integration monitoring, vendor and internal-team escalation, and downtime and root-cause reporting.
Develop hardware fleet governance metrics, baselines, and targets, and lead the utilization improvement program, including reporting by category, region, and tier; identifying idle, under-used, and recoverable inventory; and prioritizing redeployment over new purchases.
Own the planning and procurement on-ramp for new and 0-1 programs by assessing demand, defining planning and sourcing approaches, establishing an interim model, and integrating the program into standard catalog, planning, and procurement practices by a committed date.
Own change control for the planning stack, ensuring configuration and attribute changes are tested, approved, and documented before release; maintain system SOPs and user training materials.
Run a single intake for planning-system enhancement requests from regional planners, demand planning, and lifecycle; maintain the prioritized backlog and set and manage delivery expectations.
Deliver the advanced planning system migration from the business side, including requirements, configuration, data readiness, and user adoption.
Surface integration failures, data-quality breaks, and migration slippage to leadership promptly, with mitigation already underway.