Core EOS Expectations
-Maintain a strong EOS foundation through MDI, Accountability Tags, HeyDo, Visual Management, Standard Work, RCCA, and established EOS methods.
-Focus EOS activities on solving real business problems and delivering measurable operational results.
-Build ownership, problem-solving capability, and leadership skills at all organizational levels.
-Drive collaboration, best-practice sharing, and learning across global locations.
-Promote continuous improvement, innovation, digital technologies, and AI-enabled solutions.
-Improve both direct business results and preventive performance measures including safety, quality, reliability, and scrap reduction.
Key Responsibilities
-Coach and develop EOS Managers, EOS Coordinators, plant leadership teams, and operational leaders globally.
-Conduct EOS maturity assessments, leadership observations, Gemba walks, and sustainment reviews.
-Lead deployment and sustainment of EOS playbooks, House of EOS standards, and continuous improvement methodologies.
-Facilitate Kaizen events, Rapid Improvement Events (RIEs), Value Stream Mapping, and A3 problem solving.
-Ensure EOS resources are focused on the highest-value opportunities affecting Safety, Quality, Delivery, Cost, and Productivity.
-Partner with operations, engineering, supply chain, quality, EHS, finance, and HR leaders to execute transformation plans.
-Drive accountability culture through effective use of Accountability Tags, action management systems, and leader standard work.
-Develop succession pipelines and talent growth plans for EOS professionals and site leadership.
-Support executive reviews, governance processes, and global EOS performance reporting.
Digital Transformation & AI Leadership
-Champion digital transformation initiatives that improve operational effectiveness, decision-making, and problem solving.
-Leverage HeyDo and other digital EOS platforms as the backbone for accountability, project management, and sustainment.
-Drive development and adoption of Power BI dashboards for KPI visualization, operational reviews, EOS maturity tracking, and executive reporting.
-Identify, evaluate, and deploy AI solutions that improve safety, quality, productivity, root-cause analysis, knowledge management, and decision support.
-Partner with Digital EOS, IT, Operations, and Business Leaders to scale data-driven continuous improvement solutions globally.
-Develop organizational capabilities in data analytics, digital workflows, automation, and AI-enabled problem solving.