Lead Industrial Engineer, Warehouse

Role Overview

• Support the Ryder Continuous Improvement culture across the business by actively applying continuous improvement methods to support new and existing operations.
• 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.
• 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. The primary objectives are to collect data and perform statistical analysis, map and document processes, and make recommendations for improvement.
• Effective facilitation and execution of 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).

Requirements

• Bachelor's Degree in Bachelor’s degree (Engineering, Business, Supply Chain)
• 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.
• Required 7 years or more in related work experience in the Warehousing & Transportation and/or Manufacturing industry
• Required 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
• 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. Transportation Design Tools ie; JDA, Appian, Network Design Tools ie; Llamasoft, Transportation Management Systems ie; JDA, OTM, , Mapping Software ie; Tableau. Advanced, Preferred
• Lean Six Sigma, Required
• cPMP, ISO/QMS, Preferred
• American Production Inventory Control Society (APICS) and/or Supply Chain Logistics Certification, Preferred

Tech Stack

• SQL
• Tableau

Benefits

• comprehensive health and welfare benefits
• medical, prescription, dental, vision, life insurance and disability insurance options
• paid time off for vacation, illness, bereavement, family and parental leave
• tax-advantaged 401(k) retirement savings plan