Staff Warranty Engineer

Description

About The Role

• Monitor customer warranty activity, customer complaints
• Corroborate failure types and root causes through analysis of warranty return
• Assemble teams from division-wide resources to investigate the true cause of warranty claims and actual warranty failures
• Manage warranty Improvement projects to address and resolve the most significant sources of warranty claims and warranty liability
• Provide all relevant feedback and lessons learned as inputs to engineering
• Process warranty data into statistical reliability models
• Knowledge in AIAG core tools like FMEA, SPC, MSA, PPAP, APQP, Control plan is essential
• Perform warranty reliability “weibull analysis” to get failure rates, TTF (time to fail) simulation, cumulative DPPM simulation
• Report all warranty results and progress regularly to our primary customers and within the division
• 8D Manager with ownership of the 8D system/process and the primary driver of regular open 8D reviews
• Provide support for production issues as prevention to warranty
• Functions as a resource to departments and process improvement teams in the areas of quality data management
• Work with stakeholders throughout the Quality organization to identify opportunities for leveraging company data to drive product/process improvements
• Work with cross functional teams to understand their needs and run query to support their analyses
• Develop deep knowledge of the dataset and able to drill down and wide
• Run SQL/R/Python queries on various databases to identify patterns and diagnose problems
• Identifies opportunities for automation, monitoring and visualization using automated tools
  

Who You Are And What You Bring

• BE/B.Tech degree or higher in Engineering, or Computer Science
• Minimum 8+ years of work experience preferred in automotive, automotive supplier, solar or other related industries in the field of warranty engineering. Also working experience in Process Quality and Customer quality
• Engineering-level understanding of statistics and reliability
• Outstanding team building and communication skills are necessary, as the position will be required to work with Plant engineering, Product engineering, Quality, Finance and Supply Chain
• Disciplined 8D problem solving / failure analysis of materials and processes, including manufacturing issue troubleshooting
• Minitab/ JMP or other statistical analysis tool working experience must
• Six Sigma Black Belt / Shainin Red X Apprentice / Shainin Red X Journeymen preferred
• Design, develop and implement data-driven strategies
• Knowledge in programming/query languages such as Python/R/SQL