Develop strategies and lead implementation to solve important challenges across Meta's infrastructure supply chain
• Identify opportunities to improve and scale Meta's infrastructure supply chain capabilities
• Lead cross-functional teams to deliver longer term solutions to prioritized business, capability, and/or technical challenges
• Engage with leaders across the supply chain team and our cross-functional partners to understand key problems and issues impacting the business
• Maintain a broad understanding of industry and supply chain external developments to enable Meta to leverage best practices and stay at the leading edge
• Lead design and implementation for complex solutions to deliver meaningful, sustained supply chain capabilities, leveraging business and technical expertise from multiple, global supply chain system transformations
• Influence key stakeholders taking feedback and gaining alignment on proposed direction and plans
• Establish and develop a data-driven approach, including metrics, to measure progress and outcomes
• Effectively communicate to multiple stakeholders and teams
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 10+ years of experience in leading global, complex supply chain teams in infrastructure or related domain
• 10+ years of experience in deploying E2E Supply Chain Solutions (ERP, SCM, PLM, etc), in an infrastructure area
• Experience with ERP Applications including Demand Management, Supply Planning, S&OP/IBP, Inventory Management, Order Management, Procurement
• Demonstrated successful partnerships with internal and external stakeholders to influence and execute supply chain strategy and execution
• Proven experience to create and follow a structured communication strategy to keep internal and external stakeholders informed and engaged
Preferred Qualifications
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience in partnering with OEM/ODM/CM manufacturers of compute, storage, network, and data center infrastructure
• Experience architecting and implementing supply chain solutions for Hyperscalers
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Master's degree in Computer Science, Computer Engineering, Industrial Engineering, Supply Chain Management, or a related field
