Lead evaluation and enterprise adoption of emerging technologies (e.g., generative and agentic AI). Define reference architectures, standards, governance, and roadmaps; resolve cross-program architecture issues; guide risk/benefit analysis and educate IT and business leaders to ensure secure, scalable, enterprise-aligned adoption.

Lead development of predictive and prescriptive supply chain models using statistics, machine learning, and optimization. Partner with IT, product managers, and engineers to scale analytics products, design experiments, run simulations, mentor analysts, and translate insights into operational improvements.

Lead development of predictive models and algorithms for supply chain optimization. Analyze large datasets, design experiments, build ML and simulation solutions, collaborate with IT/product teams to deploy scalable analytics products, mentor analysts, and drive data-driven operational improvements.