Network Hardware Infrastructure Demand Manager
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Meta is seeking a Demand Manager to lead and optimize our Network Hardware (NWHW) demand planning within our Infra Supply Chain and Engineering (ISCE) Organization. This includes developing strong partnerships internally and externally to build mid to long range demand outlooks to inform business strategy and execution. The ability to act decisively and manage projects in a fast-paced environment will be critical to success. This role presents an opportunity for a technically adept individual to drive strategic supply chain initiatives in AI and network deployment and significantly impact the performance of our operations.

Network Hardware Infrastructure Demand Manager Responsibilities:

• Develop strong partnerships with Sourcing, Engineering and Finance teams to build the mid to long term demand planning and forecasting strategies.
• Partner to develop an optimized supply plan to support build out of Network, DC construction and Compute & Storage. Work closely with suppliers to build production capacity, and alternatives for material constraints. Make informed trade-off decisions when operating in limited resource environments to source a reliable supply plan.
• Develop and build forecasting models and related strategies in collaboration with Network and data science engineering teams that incorporate cost optimization, Network deployment demands, AI/GenAI strategies and Network Topology. Develop what-if planning models (Flexibility simulator) and Planning systems for demand (Oracle).
• Build and utilize planning software to manage supply chain processes. Collaborate with our Enterprise Products and Analytics teams to continually enhance our automation efforts, optimizing efficiency and accuracy in our supply chain operations.
• Build out Network hardware technical forecasting models that consider the engineering options for network topology and collaborate with NetEng partners in driving demand trade-offs.
• Work with cross-functional partners to identify cost reduction opportunities. This includes strategies such as excess & obsolescence reduction, work with engineering for design for Manufacturing, NPI for design sign-off and transition, holding statistically planned safety stock, and overall building inventory optimization techniques at the rack and commodity level.
• Communicate the plan and its commitments across the organization, including up to the leadership level and across various cross-functional teams, ensuring a clear understanding of supply commitments and potential implications.
• Drive the IBP/S&OP cycle, ensuring that it aligns with overall business objectives and maintaining a seamless process from start to end.

Minimum Qualifications:

• Bachelor's degree in business (operations, supply chain, finance, economics), engineering, or supply chain management
• 7+ years of experience in supply chain-related roles. Demand, supply, materials, or inventory planning experience
• Technical knowledge of hardware forecasting approaches and supply chain demand planning
• Knowledge of NetEng systems utilization / forecasting data models
• Advanced demand planning / ERP systems design and usage (O9/SAP/Oracle)
• Statistical / Stochastic Forecasting development (Ex. Monte Carlo modeling)
• Master Data management / Planning BOM management
• Core understanding (and driver) of the Integrated Business Planning process
• Basic coding skills (Apps Script, SQL)

Preferred Qualifications:

• MBA or Masters in Supply Chain
• 10+ years of experience in supply chain-related roles. Demand, supply, materials, or inventory planning experience
• Experience in hyper-scale technology
• Experience to communicate complex problems and solutions, strong drive to collaborate, and strong bias for action to overcome challenges
• Strong process/system background and proven experience to rapidly understand, use and drive improvements in new processes/systems
• Experience in solver based systems, as it pertain to demand analytics and forecasting
• Experience in the advanced forecast models, predictive analytics and demand sensing capabilities using ERP modules and/or internal built systems
• Detailed knowledge of network hardware architecture and technologies

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