The Quality Assurance Engineer is responsible to assist the Quality Manager to develop the quality system in accordance with corporate policies, goals and objectives and the requirements of ISO 9001:2015, hence to contribute to improve the overall quality performance of the Company. Key Responsibilities Primary duties may include, but are not limited to: • Leads process and product improvement projects in the development of quality programs and procedures for TDW to 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. • Supports 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 process and product issues. • Manages manufacturing related NCR/CAR (Non-Conformance Report / Corrective Action Request) activities to ensure timely administration of activities and records • Identifies and facilitate the resolution of problems at manufacturing sites • Provides regular reports detailing performance to key metrics including Cost of Failure • Designs any special testing requirements for evaluation of components or sub-assemblies that are manufactured. • Stays current on applicable weld regulations and reviews welding practices, inspections, and procedures to support compliance and continuous improvement. Experience • Bachelor of Science degree in Statistics, Engineering, or other technical discipline preferred • 3 years Quality Engineering or Supplier Quality Engineering experience with an ISO 9001 certified company required, including experience supporting welding processes in a manufacturing environment. • Quality System Auditor certification (e.g., ASQ Certified Quality Auditor or RAB/QSA Certified Lead Auditor) preferred. • ASQ Certified Quality Engineer and/or Six Sigma certification preferred. • Experience with statistical DOE, SPC, ANOVA, Regression and Theory of Constraints. • Experience with statistical software such as Minitab, R or SAS. Knowledge, Skills, and Abilities • Good understanding of Design Failure Mode Effect Analysis (DFMEA) and Process Failure Mode Effect Analysis (PFMEA). • Working knowledge of Advanced Product Quality Planning (APQP) tools 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. • Intermediate MS Office skills. • Ability to travel (internationally and domestically), up to 20% of the time.