Senior Supply Chain AI & Analytics Engineer

• Design, build, and deploy AI/ML models and advanced analytics that improve planning, inventory, logistics, network optimization, and S&OP, while architecting scalable data and analytics solutions that integrate seamlessly with enterprise platforms and supply chain systems
• Develop and operationalize AI agents that continuously monitor supply chain signals, surface proactive insights, recommend actions, and automate decision workflows to enable a more autonomous supply chain environment
• Translate ambiguous and complex supply chain problems into structured, data-driven solutions by performing exploratory analysis, scenario modeling, root‑cause investigations, and optimization across large datasets
• Create high‑quality dashboards, semantic models, and KPI frameworks in Power BI
• enable search‑driven and natural‑language analytics through ThoughtSpot
• and establish best practices for visualization and data storytelling
• Partner closely with data engineering teams to ensure reliable, well‑modeled datasets, while supporting pipeline development, feature engineering, and model deployment to production with an emphasis on scalability, explainability, and maintainability
• Collaborate across Supply Chain, IT, and Transformation teams to align analytics initiatives with business priorities
• communicate insights effectively to technical and non‑technical audiences
• mentor junior contributors
• and operate fluidly in a global, fast‑changing environment requiring flexibility across time zones

• Expertise in Python and/or R, with hands‑on experience building and deploying AI/ML models, generative solutions, or AI agents that automate insights, recommendations, or actions
• Strong capability in Power BI (data modeling, DAX, semantic layer design) and familiarity with ThoughtSpot or similar search/NLQ analytics tools
• Demonstrated ability to architect scalable data and analytics solutions, integrating models, pipelines, and AI agents with enterprise platforms and supply chain systems
• Background applying analytics, AI, or data science within planning, logistics, inventory, network optimization, S&OP, or other supply‑chain‑relevant workflows
• Experience with feature engineering, production pipelines, and deploying models/agents into repeatable, maintainable operating environments
• Knowledge of optimization techniques (linear programming, heuristics) and experience integrating analytics with ERP systems such as SAP
• Exposure to LLMs, prompt engineering, and enterprise agent frameworks, with the ability to design solutions that are explainable and user‑friendly
• Ability to work effectively in global teams, manage shifting priorities, collaborate across functions, and communicate clearly with leadership and technical partners
• Bachelor's or master's degree in data science, Engineering, Operations Research, Supply Chain, Computer Science, or related field

Prior experience in a semiconductor supply chain is a plus but not required