QA.QC Manager at Bridge Talent Management

Job Description

Key Responsibilities:

Responsible for developing and implementing Quality KPIs for the Company; implements quality procedures ensures that inspection and reporting is adhered to as required in all production processes;
Monitors all operations that affect quality, ensuring reliability and consistency of production by checking processes and final output;
Appraise customer requirements, ensuring that quality standards are met and exceeded;
Supervises and guides inspectors, technicians and other staff;
Report all malfunctions to production managers and causes corrective action to be taken;
Facilitates proactive solutions by collecting and analyzing quality data
Keep records of quality reports, statistical reviews and relevant documentation
Reviews current standards and policies, ensuring all legal standards are met;
Communicate with external quality assurance officers during on-site inspections
Completing and endorsing all inspection records from initial inspection till final acceptance of the piping systems.
Interprets welding procedure specifications and gives instructions to supervisors and QC inspectors.
Responsible for ensuring that welding inspections are done and relevant documentation is completed.
Interprets quality control plans/Inspection test plans and gives instructions to production team and QC inspectors at various inspection stages.
Responsible for ensuring that relevant inspections of piping is done and supervises Non-destructive testing i.e.
Magnetic particle inspections.
Dye penetrant tests.
Ultrasonic flaw detection.
Visual inspections etc.

Requirements

Degree in Engineering related field
Minimum of 10 years’ in a senior Quality assurance & control role in engineering or manufacturing industry in Operations i.e Production, Maintenance, Quality assurance etc
Experience in implementation of Integrated quality systems highly preferred (i.e ISO 9001; ISO 14001 and ISO 45001)
Thorough knowledge of methodologies of quality assurance and standards;
Excellent numerical skills and understanding of data analysis/statistical methods
Post Graduate qualification in Industrial, Mechanical or Production Engineering or relevant field.