Lead Engineer driving continuous improvement in Ryder's operations through data-driven CI and engineering methodologies. Managing high-impact projects to enhance performance in safety, quality, cost, and delivery.
Responsibilities
This position supports the Ryder Continuous Improvement culture across the business by actively applying continuous improvement methods to support new and existing operations.
The Lead Engineer will identify, lead and drive change within the operation through data driven CI, Engineering, and Automation efforts to deliver higher levels of performance in safety, quality, delivery, cost and growth.
Effectively leverage data analytics, engineering methodologies, and all Ryder lean tools to enable root cause identification and elimination.
This high influence position will interface with employees at all levels and functions across the operation.
This position may manage CI resources and reports to the CI Manager/Sr. CI Manager and is closely aligned with a General Manager or Director of Operations.
Collects data and performs statistical analysis.
Maps and documents processes.
Independently identifies process gaps; recommends and implements process improvement.
Develop a thorough, effective, and timely continuous improvement plan to drive value for our customers (transformation plan development and execution).
Drive process improvement activities to achieve tangible improvement in the key business metrics of safety, quality, delivery, cost, and employee development
Manages and completes high impact CI projects across the operation that lead to improved business results.
Assesses CI initiatives and provides input and recommendations on future activities.
Support start-ups, retrofits and expansions including pricing inputs, go-live and steady state certifications.
Identify and support Automation projects.
Regularly interacts with account Management and/or customer(s).
Demonstrate a high level of competency in wide range of engineering methods, Lean tools, and quality standards and coaches employees in the use and implementation of CI, Quality Assurance, & Lean principles.
Applies engineering methodologies/tools such as product slotting, studying labor standards (time studies), layouts and optimization of flow, data profiling and analysis, and resource modeling to improve distribution and/or transportation operations.
May supervise continuous improvement engineering and quality professionals.
With guidance of manager participate in employment decisions (hire, coach) and manage performance.
Effective facilitation and execution Value Stream Maps & Kaizen Events through all stages (A3 charter ideation / creation, pre-work identification and completion, delivery of results in Kaizen week, regular follow up and follow through on sustainment).
Coach process owners on how to use lean methods to achieve operational excellence
Provide regular reports of data and actions to measure progress against the site objectives.
Makes Inventory and/or Supply Chain strategy recommendations
Requirements
Bachelor’s degree (Engineering, Business, Supply Chain) and seven (7) years or more related work experience in the Warehousing, Transportation, or Manufacturing industry required
or Master’s degree (Industrial Engineering, Business Administration, or Supply Chain Management) and five (5) year related experience; if MBA, then undergraduate degree in Engineering
Microsoft Office Suite skills with emphasis on Access, Excel and PowerPoint & Visio. expert required
Data visualization (PowerBI, Tableau) and database programming (SQL, DAX, etc.) intermediate preferred
Proficiency in developing and managing: Leader Standard Work, Visual Management Systems and Management Accountability Systems, Plan-Do-Check-Act (PDCA), Value Stream Mapping, Kaizen, 5S/Workplace Organization intermediate required
Understanding and experience in core engineering and data analysis functions (slotting, utilization, labor planning, layouts, metrics, etc.) advanced required
Warehouse design tools such as CAD (e.g. AutoCAD); slotting (e.g. Slot3D), Predetermined Motion and Time Systems and methods (e.g. MOST); Warehouse Management Systems (e.g. Manhattan Scale), and Labor Mgt. Systems. advanced preferred
Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control), warehouse layout/ design and Lean methods.
Knowledge of material handling solutions and automation types such as: powered industrial truck (PIT) applications; racking and other storage solution designs, packaging equipment; conveyor and sortation equipment; and other automation solutions (e.g. AS/RS). advanced preferred
Knowledge of Dedicated Services and Managed Transportation Networks
Knowledge of all available equipment types such as; dry van, temperature control, flat bed, other specialized equipment
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