Partner with stakeholders to identify and prioritize AI use cases, map current and future business processes, assess feasibility and value, recommend build/buy options, and ensure solutions meet architecture, data, security, governance, and responsible AI requirements. Act as a bridge between business, IT, data science, and delivery teams.

Lead product strategy and roadmap for AI-powered Digital Assistant across quote-to-cash workflows. Translate business needs into requirements, collaborate with ML and engineering teams, prioritize features, monitor performance, and ensure ethical AI. Drive cross-functional alignment, build business cases, and deliver demos to stakeholders.