Executive Director, Manufacturing Data & Analytics
CurrentFormed & matured central D&A group through multiple restructuring phases (20-60 direct/indirect reports + 35 off-shore team).Built portfolio of cross-functional innovative AI/Machine Learning projects including:• Regulatory: Developed Change Assessment Knowledge Engine (CAKE) from concept to production use in <18 months (patent filed*). Scientists instantaneously receive representative global regulatory reporting requirements and change reportability leveraging knowledge graph database model, NLP engine, and regulatory knowledge base. “Assessments that sometimes took hours now take minutes!”* Patent Title: Chemistry, Manufacturing, and Controls Change Assessment System Appl. No.: PCT/US2021/061255 Filing Date: November 30, 2021• Quality: Reduced batch release by 30 minutes, eliminated manual transcriptions, and built trust in Analytical Master Data• Supply Chain: Developed business case and led cross-functional team to build A2O.ai (Air-to-Ocean), an advanced AI-based load consolidation optimization engine• Manufacturing (AI Energy Management): Reduced overall chiller plant energy consumption (-16%) while improving plant stability (+71%), and equipment utilization (+51%) through development of advanced AI neural network control modelLed multi-year campaign to establish formal division-wide manufacturing master data management and governance (~250 critical data elements across 13 data domains): • Established Data Governance Council, architecture, data stewards/owners, catalog/profiling, standards, quality rules, proactive monitoring, performance dashboards, and timely remediation through new Quality Management System (QMS) topic• Directly improved data quality to enable key digital transformation initiatives• Centralized and outsourced off-shore above-site data management (~20 FTE reduction / ~$3MM annual savings)