Lead multi‑site improvement projects such as forecasting automation, WOS dashboard enhancement, COO/City cleanup, and supplier portal initiatives. Drive analytics, mass‑update processes, and system enhancements alongside IT, CSM, PDE, Quality, MFG, and suppliers. Serve as a program leader for digital transformation (Tableau, SAP cleanup, automated reporting, other AI tools). Evaluate long‑term financial and operational impacts of planning decisions. Develop material strategies using deep knowledge of demand models, lead time behavior, forecast patterns, buy rules, and inventory optimization. Participate in GP Mission: AI‑Enabled, earning XP through education, exposure, experiential AI tasks and championing AI adoption across the GIDM team. Drive automation of high‑effort processes such as pricing discrepancy tracking, WOS risk identification, and supply rebalancing triggers. Normalize human‑AI collaboration in supply management activities such as supplier communication summaries, meeting recaps, forecast analytics, and demand alignment Pilot AI‑enabled forecasting, anomaly detection, summarization, and scenario modeling tools to improve decision velocity and accuracy. Influence and align internal and external stakeholders to resolve high‑impact supply issues. Escalate efficiently and execute recovery plans for Spares/IDM categories across regions. Bachelor's Degree in Supply Chain, purchasing, or a related field 10~15 years in supply chain/materials management (semiconductor preferred). Experience with indirect materials (spares, packaging materials, trays, films, chemicals, tools). Strong understanding of planning automation and digital tools. Advanced SAP MM/MRP knowledge (forecasting, SSROP, PR/PO management, material classification). Strong analytics skills (O365, SharePoint, Tableau, Power BI, Power Automate, data interpretation, or equivalent will be an added advantage). Experience managing multi‑site inventory health, WOS, and risk scenarios. Acts as a subject matter expert within the specialty area. Leads cross‑functional project teams with autonomy. Solves complex problems and contributes to solutions across sites. Communicates highly complex information to influence key decisions. Decisions have site‑level or multi‑site impact, contributing to global programs.
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