Product Development Engineer - Quality Analyst

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!

In this position...  

As The PD Quality Analyst, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will use, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with Manufacturing and PD to align with their needs.

Job Responsibilities:          

• Work with the PD Design and Release team on Ford Specific Guidelines
• Drive continuous improvement and support cross-functional matched pair initiatives as required
• Drive robust Failure Mode Avoidance through Chat GPT, Quality AI and RD Mapping, 
• Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics. 
• Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. 
• Act as a consultant to the business vs. an order taker. 
• Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.
• Lead meetings for continuous improvement external and internal quality actions. 
• Investigate feasibility of innovative technology solutions for external and internal quality concerns 
• Document innovations from ideation to adoption within the traction system. 

 

 

What you'll do…      

• Work with the PD Design and Release team on Ford Specific Guidelines
• Drive continuous improvement and support cross-functional matched pair initiatives as required
• Drive robust Failure Mode Avoidance through Chat GPT, Quality AI and RD Mapping, 
• Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics. 
• Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. 
• Act as a consultant to the business vs. an order taker. 
• Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.
• Lead meetings for continuous improvement external and internal quality actions. 
• Investigate feasibility of innovative technology solutions for external and internal quality concerns 
• Document innovations from ideation to adoption within the traction system. 

 

You'll have... 

Minimum Requirements:

• Bachelor’s degree in a quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science 
• Quality experience preferred 
• Manufacturing/Technology engineering work experience
• Automotive experience
• Experience in Quality systems, tools and techniques
• 1+ year experience hands-on experience with machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis 
• 1+ year of experience delivering analytics solutions 
• Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization 

 

Even better, if you have …

Preferred 

• Experience in Quality systems, tools and techniques
• Project management experience
• Supply/Crisis Management Experience
• Experience in following manufacturing processes: Electrification system, machining, Injection Molding & Assembly.
• 8D and 5Why corrective action and problem-solving 
• Lean Tools – 5S, Kanban, Poka-yoke, and Value Stream Mapping
• TQM and Kaizen Methods
• Visual Factory Management
• Microsoft Office proficiency (Word/Excel/Outlook)
• GD&T
• Proficient