The primary role of Manufacturing Quality function is to design, implement and monitoring quality control programs. Key deliverables include, but not limited to, recommending changes to methods, procedures and standards to improve quality of output based on analysis of data and systems. Ensures products are built correctly to specification, quality standards and appropriate regulatory compliance. Reports defects and tracks until resolution.
Let’s talk about Responsibilities
Support the Factory Focus teams to achieve current KPI of Quality, Delivery and Cost
Lead and support new products introduction process into manufacturing with active involvement in appropriate XFT deliverables and phase transitions in collaboration with QA counterpart in XFT and QA/RA team
Pro-actively improve quality systems to support manufacturing including reviews across all areas of manufacturing and QA production support team to ensure a level of consistency and standardization in ResMed QMS across various manufacturing business units and sites
Ensure risk of non-compliance and related business risks are mitigated
Provide quality / technical leadership through mentoring/coaching
Ensure compliance to ResMed QMS; strong knowledge, application of and compliance to FDA Quality System Regulations, GMP, and applicable ISO / regulatory standards
Ability to work collaborative across various QA functions in ResMed (Quality systems & Audit, design, supplier, manufacturing, and customer quality)
May perform Quality representative role for Operations projects and business activities that require broad quality expertise and support, eg: site moves / expansions, new process / business ventures, support / integration of acquired companies.
Develop Quality Agreements, Quality Plans, Project Based Risk Assessment
Perform or support internal / external / supplier audits
Partner with stakeholders and other functions to understand business & quality requirements and apply appropriate risk-based decision making to achieve successful business and customer outcomes
Support/remote support technical leadership in Quality Engineering across global team.
Utilize advanced data analytics, machine learning insights, and statistical methodologies to support root cause investigations, CAPA effectiveness reviews, and risk-based decision making.
Ensure AI-enabled quality systems and automated decision-support tools comply with applicable regulatory requirements, quality standards, data governance policies, and validation expectations.
Drive continuous improvement initiatives by identifying opportunities for automation, predictive quality monitoring, and intelligent process optimization within the Quality Management System (QMS).