Automated Material Handling Consultant
Dematic · Wauwatosa, WI · 2 days ago
Consulting$65k–$140k/yrFull-time
About the role
The Automated Material Handling Consultant is a trusted advisor for our Customers, Sales, and Execution teams, tasked with helping customers get the best out of their systems. The position will be involved in both new and existing systems and evaluates all aspects that affect system performance, including equipment, software, and operations.
Responsibilities
- Understand the full functionality of world class warehouse and distribution center automation
- Analyze and evaluate new and existing systems and processes, identifying value-added and non-value-added activities to solve design challenges
- Conceive, compare, recommend, and present innovative solutions based on analysis and organizational objectives
- Evaluate and explore new and existing processes, equipment, and materials as an input to performance metrics
- Work with a cross-functional team of engineers from several technical disciplines to deliver some of the most innovative solutions in the industry
- Review simulation scenarios to ensure the deliverability of the design / scope / solution with a "real world" view of the operational challenges
- Lead consultancy projects with our customers to create a vision for the future of their operations
- Utilize principles of mathematics, science, and engineering to streamline processes
- Proficiency with analytical tools, workflow time study, and process balancing
Qualifications
- Consulting mindset
- Breadth of material handling knowledge
- Ability to communicate complex problems to a diverse audience
- Analytical skills to compare process and solutions
- Understanding of solution design
- Ability to work in stressful situations
- Proven ability to lead change
- Experience influencing cross function teams
- System design or operation experience
Pay
The base pay range for this role is estimated to be $65,000 - $140,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.