Sr. Advanced Quality Engineer

Milwaukee Tool•Brookfield, MT

About The Position

Come be DISRUPTIVE with us! At Milwaukee Tool, our most valued resource is our dedicated team of employees - employees who work with a passion to be the best and an unparalleled pride in their work and in the Milwaukee brand. We know that the only way to sustain growth and success is to value the growth and success of each person within the organization that's why we invest in an individual's growth and development from day one. All our teams touch every step of the process, that is why our Engineering teams are some of the key contributors to our continuous innovations. The fast-paced, agile environment continuously delivers disruptive technologies by providing every team with the resources needed to excel and working directly with End Users to understand how to deliver heavy duty products with high performance. We create Best in Class products by leveraging advanced analysis tools, extensive testing regimes, state-of-the-art manufacturing processes and cross-functional agility. To learn more about the Milwaukee story and our company click HERE . At Milwaukee Tool, we strive for operational excellence to deliver best-in-class products and service that exceed the needs of our end users. We achieve this by cultivating a culture to hire, reward, mentor and grow 'Exceptional People.' Reporting to the Quality Manager, works with occasional supervision and from broad guidelines and objectives. T he primary duty of this position is to serve as a Quality & Reliability expert to the business and projects teams, with minimal supervision. Should be able to demonstrate strong problem-solving & critical thinking skills and show proactiveness in executing deliverables. Administrative Responsibilities: Work with domestic and potentially global teams to execute Production Support Quality Engineering Activities, NPD (New Product Development), Product Support, and Value Engineering projects. Up to 20% travel is required (majority domestic). Serve as the representative to the Accessories Quality & Reliability team on NPD teams alongside Marketing and Engineering counterparts. Effectively capture and communicate risk and lead alignment towards mitigation and closure. Research , develop and revise Quality Po l i cies, Procedures , System Instructions, Engineering Standards and Work Instructions that govern the operations of the Quality Engineering Department and Quality-related activities of the Corporate Office and the Manufacturing Facility. Establish and maintain a framework and systems for collecting and analyzing product performance, statistical process contro l , conducting gauge repeatability and reproducibility studies (GR&R). Write standards and procedures governing the conduct of these activities including the data to be collected , reporting methods, etc. Formally lead and capture Supplier Development activities for all NPD projects to ensure stable processes and the manufacturing of quality products in a mass production setting.

Requirements

Bachelor's Degree in Engineering, or equivalent.
5+ years of related work experience .
Strong background in statistical analysis and methodologies.
Working knowledge of quality / reliability applications such as Minitab and ReliaSoft.
Strong written and verbal communication skills.
Proficient in Microsoft Office applications including: Word, Excel, and PowerPoint.

Nice To Haves

Six Sigma
Auditing
Plant Quality
Power BI
Test Development

Responsibilities

Work with domestic and potentially global teams to execute Production Support Quality Engineering Activities, NPD (New Product Development), Product Support, and Value Engineering projects.
Up to 20% travel is required (majority domestic).
Serve as the representative to the Accessories Quality & Reliability team on NPD teams alongside Marketing and Engineering counterparts.
Effectively capture and communicate risk and lead alignment towards mitigation and closure.
Research , develop and revise Quality Po l i cies, Procedures , System Instructions, Engineering Standards and Work Instructions that govern the operations of the Quality Engineering Department and Quality-related activities of the Corporate Office and the Manufacturing Facility.
Establish and maintain a framework and systems for collecting and analyzing product performance, statistical process contro l , conducting gauge repeatability and reproducibility studies (GR&R).
Write standards and procedures governing the conduct of these activities including the data to be collected , reporting methods, etc.
Formally lead and capture Supplier Development activities for all NPD projects to ensure stable processes and the manufacturing of quality products in a mass production setting.
Perform process analysis on machines, equipment, and systems to facilitate process improvement.
Track process performance and provide feedback to engineering, manufacturing, and management.
Provide guidance to manufacturing, and potentially suppliers, in process improvement to reduce process varia t i on and increase process controls , where appropriate.
Participate in reviewing designs of new products and engineering changes with respect to product quality control/assurance and gauge requirements and recommend changes as required.
Isolate and identify critical quality requirements and quality controls.
Establish and maintain quality and process control plans to support manufacturing and quality activities including process auditing.
Coordinate the corrective action system, including supplier corrective actions, to ensure root cause analysis and effective corrective/preventive action to ensure problem resolution and recurrence mitigation.
Develop test plans and procedures, to ensure products meet customer requirements.
Report and present product information utilizing statistical techniques such as Weibull analy s is, reliab i l i ty distributions and matrices.
Review new product designs and engineering changes with respect to product reliability , end-user requ i r ements and warranty information.
Draw concise conclusions from experiments based on data analysis.