Purpose
Lead the Quality Assurance effort within his/her organization, to minimize quality risks across its processes (end to end) – through their early identification and minimization/elimination.
Risk Assessment, Data Analysis, and Compliance:
- 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 fir-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 runlife performance of installed ESP systems to identify key trends and causes, at various organizational level.
- 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.
Knowledge and Experience:
- Minimum 3 years working experience in similar role, with 2 years of practical experience in data analytics and/or reliability engineering and/or statistical quality tools.
- Practical experience in using Minitab and/or Reliasoft suite-of-software (or equivalent).
- Basic knowledge in cloud computing.
- Basic knowledge in development and use of Machine Learning and Artificial Intelligence.
- Knowledge of ISO 9001 is mandatory.
- Preferred experience in Aerospace, Automotive or Electronics industry.
- Excellent English written and verbal communication skills.
Education and Certifications:
- Bachelor (or higher) degree in any Science/Engineering discipline; Master (or higher) degree preferred.
- ASQ Certified Quality Engineer certification highly preferable.
- Six Sigma Green/Black Belt certification preferable.
- Certified auditor certification preferable.
- PMP (Project Management Professional) certification preferable.