• Own the end-to-end execution for all assigned OFCI equipment from post-award through final site delivery, ensuring all deliveries align with construction and ready-for-service schedules. • Hold suppliers accountable to contractual production timelines and recovery commitments while providing data-driven insights to leadership regarding reliability trends. • Identify potential schedule risks early, implement mitigation plans to avoid project delays, and escalate critical issues to leadership in a timely manner. • Coordinate closely with Design Engineering, Construction, Finance, and Operations to manage submittal reviews and ensure deviation management is resolved quickly.

Role 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. - Effectively communicate the plan and its commitments across the organization, including up to the leadership level and across various cross-functional teams. - Support the Integrated Business Planning / Sales and Operations Planning (IBP/S&OP) cycle. - 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. - 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. - Utilize Meta’s Clear-to-Build (“CTB”) tool tailored to efficiently manage commodities at various stages of AI server rack production. - Utilize Oracle and internal planning tools to manage planning processes. - 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. 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. - 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. Requirements - 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. - 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. Benefits - Annual Salary Range: British Columbia/Ontario $50,550 to $100,550. Company Description Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.

• Lead and develop the Delivery Team for effective execution of learning initiatives. • Partner with various teams to enhance the learning experience. • Manage scheduling, effectiveness assessment, and delivery plans for training materials. • Oversee daily roles and routines of the Delivery Team. • Explore and integrate emerging technologies to enhance learning delivery. • Approach challenges as opportunities for improvement.

• Develops and/or teaches courses in the graduate curriculum courses as assigned. • Responsible for the creation of lecture materials, facilitation of learning activities, assessment (i.e., quizzes, exams, assignments, and homework if applicable), offering of weekly office hours, oversight of teaching assistant(s) (if assigned), submission of grades, and resolution of any ongoing student or course issues.