Supply Chain Lead

Accenture; Calgary; On-site; CAD 40,000 - 73,000; Full time

Job summary

Accenture in Canada is seeking a supply chain planning professional to partner with Meta Sourcing, Engineering and Finance teams to build mid-to-long term demand planning and forecasting strategies, and to develop an optimized supply plan for AI data center projects.

The role involves collaborating with suppliers, using forecasting models, managing what-if planning, integrating with Oracle and ERP tools, driving cost reductions, and delivering 100% on-time deliverables with cross-functional

Qualifications

• Bachelor's degree or equivalent experience in business, engineering, or supply chain.
• 5+ years in supply chain planning or related roles.
• Proficient in forecasting methods, data analysis, and visualization tools.

Responsibilities

• Develop mid-to-long term demand planning and forecasting strategies.
• Create optimized supply plans to support AI data center projects.
• Collaborate with suppliers to assess capacity and alternatives.
• Utilize forecasting models and what-if planning with ERP/Oracle systems.
• Communicate plans across leadership and cross-functional teams.

Skills

Demand planning

Forecasting models

What-if planning

ERP tools

Education

Bachelor's degree or equivalent

Tools

Oracle

SAP

o9

Kinaxis

Anaplan

Job description

• 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

• 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

Minimum Qualifications

• 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.
• 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
• Proficient using planning tools and ERP software (Oracle, SAP, o9, Kinaxis, Anaplan, or custom build)

Preferred Qualifications

• Technical and analytical skills.
• Proven communication skills.
• Experience in a fast-paced, highly collaborative, and data-driven environment while independently managing projects.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand new position.

The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here:

Role Location Hourly Salary Range British Columbia/Ontario/New Brunswick $29.01 to $53.05