Engineering Specialist, Vrt (variability Reduction Team) Co-lead

Ford Ford · Auto · Wayne, MI +1 · Quality

The Engineering Specialist, VRT (Variability Reduction Team) Co-Lead role at Ford focuses on quality improvement in manufacturing processes. Responsibilities include statistical process control, data analysis, creating dashboards, job observations, and applying quality principles to reduce defects and improve manufacturing processes. The role requires a Bachelor's degree in a relevant field, automotive experience, and knowledge of AI/ML algorithms for data engineering, though AI/ML is not the core craft of the role.

What you'd actually do

  1. Support VRT (Variability Reduction Team) with statistical process control and data analysis.
  2. Data analysis using big data queries and supporting all VRTs in Problem resolution.
  3. Creating Dashboards to reduce defect definition time
  4. Apply Quality principles and analytical techniques to establish and continuously improve manufacturing processes and products.
  5. Analyze root causes, engage in mapping and take corrective actions to reduce inventory.

Skills

Required

  • Bachelors in Mechanical/Materials/Electrical Engineering/Computers/Data Science
  • 3+ Years of Automotive experience preferred in Quality Problem-solving roles
  • Knowledgeable in AI/ML algorithms for Data engineering
  • Proficient with Grab CAD to design and develop gauges/tooling aids using 3D Printing
  • Working knowledge of Citrix (CM4D), SPDQS, WBDM, Vow cell Team centre
  • Strong working knowledge of GSAR, BSAQ, and QARS
  • Strong understanding on QLS & IQT Usage and Data Analysis
  • Good working knowledge on Vision systems like Keynes, MAIVS, AITRIZ
  • Error Proofing Data Analysis and Interpretation
  • Proficient in creating Health Chart CTQ in E2KS
  • Microsoft Office (excel, PowerPoint, word)

Nice to have

  • Green belt certified
  • Master’s degree
  • Black Belt trained or certified
  • 5 years of Manufacturing Experience
  • 5 years of Quality experience
  • Experience working closely with union employees
  • Data Engineering certifications
  • Previous LEAN experience

What the JD emphasized

  • Knowledgeable in AI/ML algorithms for Data engineering