Leads complex enterprise technology initiatives, including ERP implementations, BI, data analytics, AI, and systems integration projects. Manages planning, scope, timelines, resources, budgets, risks, dependencies, stakeholder communications, executive reporting, and cross-functional delivery across Product, Engineering, Data, and business teams. Drives process improvements and ensures projects meet business objectives, customer outcomes, and delivery commitments.

Lead end-to-end implementation and management of an AI Technician Assist platform for heavy equipment service operations. Responsibilities include ERP and data integration, AI output validation, technician workflow design, pilot rollouts, training, change management, adoption tracking, and stakeholder communication. The role bridges AI product teams, ERP service data, and field and shop technician workflows to improve diagnostic accuracy, repair efficiency, first-time-fix rates, and platform adoption.