Drives battery manufacturing improvements in yield, scrap, quality, and throughput using AI and analytics. Builds and deploys models for coating and formation quality, defect detection, and root-cause analysis. Converts model insights into process changes, error-proofing, and standard work while integrating MES, historian, PLC, OT, and metrology data. Collaborates with operators, technicians, process engineers, controls teams, quality teams, vendors, and central technologists to scale reusable solutions across plants.

Own the AI roadmap for battery manufacturing, identifying, benchmarking, piloting, and scaling use cases that improve yield, quality, cost, and launch speed. Build proofs of concept and reference architectures for process optimization, defect vision, yield genealogy, and predictive maintenance. Establish reusable data, labeling, and model standards; evaluate vendors; guide engineering teams; align with IT and OT on security and scalability; and apply generative and agentic AI to plant workflows.