Quality Assurance Engineer II - TD Williamson

Each day we dedicate ourselves to treating each other, our customers and our community with care and respect.

Overview

The quality assurance engineer is responsible for assisting the quality manager in executing the quality system per corporate policies, goals, objectives, and requirements of ISO 9001:2015, hence contributing to improving the company's overall quality performance.

Responsibilities

• Lead process and product improvement projects in developing quality programs and procedures for TDW to validate the capability of Quality Systems and ensure data collection is structured, managed, and utilized to benefit TDW's quality system.
• Utilizes appropriate quality tools (e.g., problem-solving and root cause analysis, lean, and Sig Sigma) to help resolve issues related to non-conformances.
• Manages the Material Review Board (MRB) to ensure that material is distributed appropriately and quickly.
• Utilizes statistics, problem-solving, and other quality tools to monitor and improve TDW's business processes and to help troubleshoot production processes and product issues.
• Manages internal NCR/CAPA activities to ensure timely administration of activities and records.
• Identifies and facilitates the resolution of problems relating to quality and production control.
• Schedules conducts and manages audits to assure compliance with TDW's quality requirements and identify continuous improvement opportunities.
• Creates and distributes monthly key metrics.

Experience

• Bachelor of Science degree in Statistics, Engineering, or other technical discipline.
• 3 years of Quality Engineering or Supplier Quality Engineering experience with ISO 9001-certified company.
• Quality System Auditor certification (e.g., ASQ Certified Quality Auditor or RAB/QSA Certified Lead Auditor) is preferred.
• ASQ Certified Quality Engineer and/or Six Sigma certification preferred.
• Good understanding of Design Failure Mode Effect Analysis (DFMEA) and Process Failure Mode Effect Analysis (PFMEA).
• Experience with statistical DOE, SPC, ANOVA, Regression, and Theory of Constraints preferred.
• Working knowledge of Lean Manufacturing and Six Sigma Black Belt preferred.
• Demonstrated ability to create, develop, organize, and utilize complex databases in a quality environment.
• Thorough understanding of advanced statistics and their application in an industrial environment.
• Excellent written, verbal, presentation, and multimedia communications skills.
• Experience with statistical software such as Minitab, R, or SAS.
• Intermediate MS Office skills.
• Ability to travel (internationally and domestically) up to 20% of the time.