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Tier-1 employer but senior, niche AI and supply-chain specialization reduces applicant density.
Strong supply-chain and semiconductor domain preference reduces cross-industry transferability.
Explicit 10+ and 8+ year requirements plus advanced degree and specific AI production experience raise filtering strictness.
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Lead end-to-end design and delivery of AI-powered supply chain solutions including Generative and Agentic AI, analytics, and enterprise applications.
Own large-scale program management from strategy to adoption and continuous improvement across supply chain domains like Demand Planning, Manufacturing, and Inventory Management.
Define and drive AI-ready data strategy, technical oversight, solution scalability, and compliance with enterprise ethics and security standards.
Master’s or PhD in Data Science, Computer Science, Engineering, Information Systems, or related quantitative field.
10+ years in enterprise application development, solution architecture, technology delivery, or program management.
8+ years leading large-scale data science, analytics, AI or digital transformation programs with experience in Generative AI and LLM-powered applications.
Hands-on experience with Agentic AI, RAG, embeddings, vector DBs, AI evaluation, prompt engineering, and production AI deployments.
Experienced in complex supply chain or manufacturing environments, especially semiconductor or electronics sectors.
Skilled in designing and implementing AI/LLM architectures, agentic workflows, data platforms (e.g. Snowflake), and integrating enterprise ERP/MES systems.
Capable of leading cross-functional global teams, translating technical AI capabilities into measurable business outcomes with strong stakeholder collaboration.