Deep experience in applying AI and analytics to industrials (e.g., automotive, machinery, aerospace, defense, semiconductor and other industrial players) with hands-on understanding of the data and technology environments common to these sectors (commercial and demand data, pricing and revenue systems, customer and loyalty platforms, digital commerce, contact center/service operations, and operational and asset data). Strong expertise with major cloud platforms (AWS, Google Cloud, or Microsoft Azure) and fluency in modern AI and data stacks, including core languages (e.g., SQL, Python), and emerging agentic AI tooling (e.g., LLM orchestration frameworks, tool-calling and workflow-based agents, retrieval-augmented generation, and MLOps pipelines).