Robotics Warranty Supervisor: Ops, Analytics & Improvement

ABB

Auburn Hills (MI)

Hybrid

USD 65,000 - 95,000

Full time

6 days ago
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Job summary

ABB Robotics is seeking a Warranty Operations Lead to oversee daily warranty activities and guide the warranty team in Auburn Hills, MI. You will review claims, monitor KPIs, and drive cost reductions while maintaining high customer service levels.

The role requires cross-functional collaboration with Quality, Engineering, and Service teams. The ideal candidate has 4+ years in warranty or service operations, leadership experience, and strong data analysis skills.

Qualifications

  • Minimum high school diploma with 4+ years in warranty, service operations, or spare parts.
  • Bachelor’s degree is preferred, with experience leading teams.
  • Strong analytical and problem-solving skills for warranty data and costs.
  • Excellent communication and cross-functional collaboration abilities.
  • Proficient in Excel; SAP experience is highly preferred.

Responsibilities

  • Supervise daily warranty operations and the warranty team.
  • Review and approve warranty claims per policies and terms.
  • Analyze warranty costs and trends to identify improvements.
  • Ensure documentation and compliance with procedures and audits.
  • Support root cause analysis and continuous improvement initiatives.
  • Prepare warranty reports and act as escalation point for complex cases.

Skills

Warranty operations
Customer service
Data analysis
Team leadership
SAP
Excel

Education

High school diploma required
Bachelor’s degree preferred

Tools

SAP
Microsoft Excel

Job description

ABB Robotics is seeking a Warranty Operations Lead to oversee daily warranty activities and guide the warranty team in Auburn Hills, MI. You will review claims, monitor KPIs, and drive cost reductions while maintaining high customer service levels.

The role requires cross-functional collaboration with Quality, Engineering, and Service teams. The ideal candidate has 4+ years in warranty or service operations, leadership experience, and strong data analysis skills.

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