IE Modeling Automation Manager

### Key Responsibilities **1. Lab Automation Strategy & Deployment** - Lead the GQ Ops automation roadmap to improve productivity, quality, safety, and operational consistency. - Evaluate and benchmark industry solutions; translate relevant technologies into scalable lab automation strategies. - Drive equipment and process automation (e.g., laser mark, ALU, robotics, vision systems, workflow digitization) to reduce manual work. - Partner with stakeholders to define requirements, assess ROI, support vendor engagement, and execute FAT/SAT/PAC. - Standardize automation designs across sites based on best-known methods and operational needs. - Drive AI Transformation for speed, innovation and productivity. **2. MES & AMHS Enablement** - Drive automation of key workflows and ensure MES readiness across development, UAT, deployment, and sustainment. - Enable AMHS integration to improve material flow, throughput, and system reliability. - Act as the central GQ Ops interface for MES, AMHS, and lab automation systems. - Partner with IT, Automation, and Operations teams to improve system uptime, performance, and issue resolution. - Support AMHS solutioning including layout optimization, tool interface readiness, and operational integration. **3. IE Modeling & Planning Systems** - Develop and sustain scalable, automated planning systems to support GQ Ops operations. - Build IE models covering capacity, throughput, utilization (PeakUtil%), cycle time, and bottleneck analysis. - Translate business inputs (ramp plans, loading, tool availability) into actionable planning scenarios for decision-making. - Improve planning tool adoption, model accuracy, and cross-site standardization. - Develop digital tools, dashboards, and decision-support systems for operations. - Bridge the Plan-to-Performance (P2P) gap through modeling insights and feedback loops with operations teams. - Explore and deploy advanced analytics/AI use cases to improve prediction, automation, and decision quality. **4. MSH Greenfield Lab Enablement** - Lead planning and enablement of MSH greenfield reliability lab for future ramp requirements. - Translate business needs into layout design, process flow, automation readiness, and execution plans. - Drive alignment on equipment selection, utilities, infrastructure readiness, and ODD requirements. - Coordinate across GEL, Process Engineering, Planning, Facilities, Automation, and vendors to ensure readiness and timelines. - Integrate automation, AMHS, MES, and data considerations early to ensure scalability and minimize rework. **5. Central Team Leadership & Cross-Site Execution** - Lead and develop a high-performing central team. - Set priorities, manage deliverables, and ensure timely execution of automation and system initiatives. - Communicate insights clearly to stakeholders, including automation impact, system risks, and model outputs. - Drive cross-site alignment to standardize best-known methods and scale successful solutions. - Foster a culture of innovation, accountability, and data-driven decision-making. - Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness. - Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements. **Minimum Requirements** - Bachelor’s degree or higher in Industrial Engineering, Automation, Mechatronics, Electrical/Electronics, Mechanical Engineering, Computer Science, Data Science, or a related technical discipline. - Minimum 7 years of experience. - Relevant experience in automation, industrial engineering, manufacturing systems, planning, capacity modeling, data analytics, process improvement, or system implementation. - Strong working knowledge of MES, AMHS, equipment automation, and core operational metrics (capacity, throughput, cycle time, bottlenecks, and productivity). - Proficiency in data analysis and reporting tools such as Excel, SQL, Python, Power BI, Tableau, Power Platform, AI agent or equivalent. - Demonstrated ability to execute projects effectively, with strong communication, stakeholder management, and structured problem-solving skills. - Proven ability to collaborate across cross-functional and global teams.