Supply Chain Processor

Accenture•Toronto, ON

6d•$50,550 - $100,550•Remote

About The Position

This role focuses on developing strong partnerships with Meta Sourcing, Engineering, and Finance teams to build mid to long-term demand planning and forecasting strategies. The objective is to develop an optimized supply plan that supports the build-out of Network, Data Center construction, Artificial Intelligence, and Compute & Storage. This involves collaborating with suppliers to understand production capacity and alternatives for material constraints, evaluating trade-off decisions in limited resource environments, and utilizing forecasting models with Meta data science engineering teams. The role also includes using what-if planning models (Flexibility simulator) and planning systems like Oracle, managing supply chain processes with planning software, and enhancing automation efforts with Enterprise Products and Analytics teams. Additionally, the role involves preparing hardware technical forecasting models, identifying cost reduction opportunities, communicating plans and commitments across the organization, and supporting the Integrated Business Planning / Sales and Operations Planning (IBP/S&OP) cycle. A key aspect is working closely with Meta Original Design Manufacturers (ODMs) to model production capacity and constraints, making informed trade-off and allocation decisions, monitoring inventory positions, and managing the New Product Introduction (NPI) process for AI server rack development. The role also supports the development of new KPIs and automated reports and involves regular collaboration with Meta ODMs in Taiwan.

Requirements

Bachelors degree or applicable experience in business (operations, supply chain, finance, economics) or engineering
5+ years of experience in supply chain-related roles.
Demand, supply, materials, or inventory planning experience.
Technical and analytical skills.
Experience building dynamic models using Google Sheets, Excel (Apps Script, VBA, SQL or Python) and creating data visualizations using Tableau, Google Data Studio, or similar software
Proven communication skills
Proficient using planning tools and ERP software (Oracle, SAP, o9, Kinaxis, Anaplan, or custom build)
Experience in a fast-paced, highly collaborative, and data-driven environment while independently managing projects

Responsibilities

Develop strong partnerships with Meta Sourcing, Engineering, and Finance teams to build 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 production capacity and alternatives for material constraints.
Evaluate trade-off 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, including strategies such as excess & obsolescence reduction, design for Manufacturing, New Product Introduction (NPI) for design sign-off and transition, holding statistically planned safety stock, and 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.
Monthly Deliverables: 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.
Monthly Deliverables: Demand plan generated to achieve minimum 90% feasibility based on supply.