Senior Quality Engineer

Purpose: Lead quality assurance activities across end‑to‑end processes by proactively identifying potential quality risks, implementing preventive controls, and driving actions that eliminate or minimize their impact on product performance and reliability. Responsibilities: • Lead quality risk assessment across the whole processes under their responsibility and ensures they are documented and updated regularly – especially those related to new/change in process and new product introduction. • Working with other stakeholders, identify and implement actions to minimize risks identified through risk assessments – such as codifying and leading the implementation of fit-for-purpose First Article (FA) protocol for specific component types. • Schedule and the lead implementation of quality audits within their scope of operation. • Lead assurance effort to ensure ongoing compliance with applicable internal, customer and industry quality and regulatory requirements • Lead the analysis of available data to identify key trends/causes of NCRs and Service Qualities, and the root cause(s) of those key causes. • Perform analysis of run life performance of installed ESP systems to identify key trends and causes, at various organizational levels • Lead the analysis of the yield, process variance and measurements done across overall manufacturing process, to identify key processes that require improvements. • Provide input and recommendation on how to add/update/upgrade business systems to enable incorporating various data analysis as part of routine operation • As Subject Matter Expert (SME), trisain the organization on applicable topics related to root cause analysis, statistical quality tool, reliability engineering and data analysis. • Performs other duties as assigned. Qualifications and Skills: • Bachelor (or higher) degree in any Science/Engineering discipline. • Minimum 5 years working experience in similar role. • Practical experience in using Minitab and/or Reliasoft suite-of-software (or equivalent). • Knowledge of ERP and GEARs systems. • Basic knowledge in development and use of Machine Learning and Artificial Intelligence. • Knowledge of ISO 9001/API Q1 is mandatory. • Preferred experience in Oil & Gas, Aerospace, Automotive or Electronics manufacturing industry. • Excellent English written and verbal communication skills.

Bachelor (or higher) degree in any Science/Engineering discipline. Minimum 5 years working experience in similar role. Practical experience in using Minitab and/or Reliasoft suite-of-software (or equivalent). Knowledge of ERP and GEARs systems. Basic knowledge in development and use of Machine Learning and Artificial Intelligence. Knowledge of ISO 9001/API Q1 is mandatory. Preferred experience in Oil & Gas, Aerospace, Automotive or Electronics manufacturing industry. Excellent English written and verbal communication skills.

Lead quality risk assessment across the whole processes under their responsibility and ensures they are documented and updated regularly – especially those related to new/change in process and new product introduction. Working with other stakeholders, identify and implement actions to minimize risks identified through risk assessments – such as codifying and leading the implementation of fit-for-purpose First Article (FA) protocol for specific component types. Schedule and the lead implementation of quality audits within their scope of operation. Lead assurance effort to ensure ongoing compliance with applicable internal, customer and industry quality and regulatory requirements. Lead the analysis of available data to identify key trends/causes of NCRs and Service Qualities, and the root cause(s) of those key causes. Perform analysis of run life performance of installed ESP systems to identify key trends and causes, at various organizational levels. Lead the analysis of the yield, process variance and measurements done across overall manufacturing process, to identify key processes that require improvements. Provide input and recommendation on how to add/update/upgrade business systems to enable incorporating various data analysis as part of routine operation. As Subject Matter Expert (SME), train the organization on applicable topics related to root cause analysis, statistical quality tool, reliability engineering and data analysis. Performs other duties as assigned.