• Work to develop strong partnerships with Meta Sourcing, Engineering and Finance teams to build the mid to long term demand planning and forecasting strategies.

• Develop an optimized supply plan to support build out of Network, Data Center construction, Artificial Intelligence, and Compute & Storage.

• Collaborate with suppliers to get insight into the production capacity, and alternatives for material constraints. Evaluate tradeoff decisions when operating in limited resource environments to source a reliable supply plan.

• Utilize forecasting models and related strategies in collaboration with Meta data science engineering teams that incorporate cost optimization, deployment demands, Artificial Intelligence/Generative Artificial Intelligence strategies and various data center and network fabric types.. Utilize what-if planning models (Flexibility simulator) and Planning systems for demand (Oracle).

• Utilize planning software to manage supply chain processes.

• Collaborate, under Meta’s guidance, with our Enterprise Products and Analytics teams to continually enhance our automation efforts, optimizing efficiency and accuracy in our supply chain operations.

•  Prepare hardware technical forecasting models that consider various engineering options and collaborate with engineering partners in driving demand trade-offs.

• Work with Meta cross-functional partners to identify cost reduction opportunities. This includes strategies such as excess & obsolescence reduction, work with engineering for design for Manufacturing, New Product Introduction (NPI) for design sign-off and transition, holding statistically planned safety stock, and overall building inventory optimization techniques at the rack and commodity level.

• Effectively 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.

• Support the Integrated Business Planning / Sales and Operations Planning (IBP/S&OP) cycle, ensuring that it aligns with overall business objectives and maintaining a seamless process from start to end.

• Work to build strong partnerships with the Meta Demand Planning and Engineering teams to source the latest demand signal

• Develop and manage an optimized rack and commodity-level supply plan to support the demand signal. Work closely with Meta Original Design Manufacturer (ODMs) to model production capacity and constraints. Make informed trade-off and allocation decisions when operating in limited material resource environments.

•  Work closely with the Commodity Planning team by monitoring inventory positions and proposing safety stock adjustments based on risks identified throughout our supply chain.

• Effectively source planning-relevant data and information, maintain a high degree of organization, and oversee a dynamic New Product Introduction (“NPI”) process for AI server rack development within a fast-paced and ever-evolving environment.

• Utilize Meta’s Clear-to-Build (“CTB”) tool tailored to efficiently manage commodities at various stages of AI server rack production, ensuring seamless supply planning and optimized production workflows.

• Utilize Oracle and internal planning tools to manage planning processes. Collaborate with Meta Enterprise Products team to continually enhance our automation efforts, efficiency, and accuracy in our supply chain operations.

• Support the development of new KPIs and automated reports to drive business decisions, highlight performance, and identify risks.

• Collaborate closely with Meta ODMs located in Taiwan through regular weekly video calls. Monthly Deliverables:

• Commodity or finished good demand plan forecast updated and sent to Meta and relevant internal business segment contact. Goal of 100% on time.

• Commodity or finished good supply plan updated and sent to relevant internal business segment contact and supply chain operations contact. Goal of 100% on time.

• Demand plan generated to achieve minimum 90% feasibility based on supply

About Accenture

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