Ryder - Fontana, CA
posted 6 months ago
This position supports the Ryder Continuous Improvement culture across the operation by actively applying continuous improvement methods to support new and existing operations. The Engineer will identify and drive change within the operation through data driven Continuous Improvement (CI), Engineering, and Automation efforts to deliver higher levels of performance in safety, quality, delivery, and cost. The role requires effective leveraging of data analytics, engineering methodologies, and advanced lean tools to enable root cause identification and elimination. This position will interface with employees at all levels and functions across the operation, ensuring a collaborative approach to improvement initiatives. The Engineer will report to the Lead Engineer, CI Manager, or Sr. CI Manager and will work closely with Operations Management to align CI efforts with operational goals. Essential functions of the role include collecting data and performing statistical analysis, mapping and documenting processes, and independently identifying process gaps. The Engineer will recommend and implement process improvements, develop and manage a thorough, effective, and timely continuous improvement plan to drive value for customers, and lead process improvement activities to achieve tangible improvements in key business metrics such as safety, quality, delivery, cost, and employee development. The role also involves managing and completing CI and steady-state engineering projects that lead to improved business results, assessing CI initiatives, and providing input and recommendations on future activities. The Engineer will support go-live and steady-state certifications and identify and support automation projects, regularly interacting with operations management and customers. The Engineer will develop and demonstrate competency in a wide range of engineering methods, Lean tools, and quality standards, coaching employees in the use and implementation of CI, Quality Assurance, and Lean principles. This includes applying engineering methodologies/tools such as product slotting, studying labor standards, layouts and optimization of flow, data profiling and analysis, and resource modeling to improve distribution and/or transportation operations. Effective facilitation and execution of Value Stream Maps and Kaizen Events through all stages will be required, along with coaching process owners on how to use lean methods to achieve operational excellence. Regular reporting of data and actions to measure progress against site objectives is also a key responsibility, along with making inventory and/or supply chain strategy recommendations.