Quality Early Detection Engineer
About this role
What you’ll be able to do:
• Handle and Improve main Quality metrics (R/1000, CPU, and NPS)
• Lead development of single agenda for quality including issue found in various sources (customer claims, DTC universal clock speed, quicker service fix, dealer special service handling, and warranty spend)
• Represent at various Quality forums
• Investigate, Pareto and share the highest Diagnostic Trouble Code (DTC) contributors
• Organize quality symptoms into Problem Objects that are documented, monitored and actioned in Jira 8D tools.
• Proactively identify and gather peer support to quickly solve any issues affecting customers
• Propose methods to reduce unnecessary toil and manual work related to quality escalation management
Critical Success Factors
- A passion for trouble shooting and thirst for gaining a deeper understanding of multiple technologies across a complex ecosystem
- Keep a clear communication channel on daily work/activities with Direct Supervisor/Peers, while maintaining resilience to balance among daily/weekly new demands
- Keep proper track and throughput on individual tickets/JIRA
- Submit monthly Quality reports with action plans/detailed status
- A true passion for trouble shooting and thirst for gaining a deeper understanding of multiple technologies across a complex ecosystem
The minimum requirements we seek:
- Bachelor's of Science degree in Electrical Engineering
- 2+ years of working experience with Software Analysis/Testing, CAN bus technology and tools (Log Review/Root Cause Analysis)
- 2+ years of experience working with Engineering tools, Databases, Defect Tracking Systems (Diagnostic Engineering Tool, IVS, VADR, JIRA)
- 2+ years of working experience in Service Tools/Applications (such as FDRS, PTS, workshop manuals)
- 2+ years of experience with Quality methodologies (Root Cause Analysis, triage capabilities 8D, Fishbone, Is/Is Not, 3 legged 5 why, etc.)
- 2+ years of experience working in a team collaboration environment with upper management and peers..
Our preferred requirements:
- Masters degree in Electrical Engineering
- Knowledge in Six-Sigma and/or Quality/Reliability tools - DoE, Taguchi Methods, FMA, etc.
- A Green Belt and/or Black Belt
- Solid grasp of vehicle electrical architectures and components.
- Working knowledge of Ford Quality tracking resources (AWS/GSAR, Datacubes, BSAQ, ECB, GCQIS, QNPS, etc.)
- High level of interpersonal skills to successfully connect with a diverse group of people and multi-functional teams.
- Ability to respond and prioritize several demands from different teams and points of view
- Ability to drive Quality/Performance mentality into various levels inside the Company
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