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What we offer:Job Responsibilities:
The Quality Systems Lead is responsible for ensuring robust quality governance and compliance across the business’ Quality Management System and providing key input into the quality aspects of engineering automation and industrialisation projects.
This role also acts as the interface between Quality, Engineering, Logistics and Industry 4.0 teams, ensuring that automated solutions, new technologies and process changes are implemented in line with automotive industry standards, customer specifics and regulatory expectations.
Role Responsibilities:
- Coordinate, support and lead the development, maintenance and improvement of the Quality Management System in line with IATF 16949, ISO 9001, ISO 45001, ISO 50001 and customer specific requirements
- Lead internal, customer and external audits related to quality systems whilst supporting other business-oriented audit requirements across multiple departments
- Act as the Quality Systems SME for automation, digital manufacturing and engineering transformation projects, with a focus on digital inspection and data-driven quality systems
- Support and approve APQP, FMEA, control plan, PPAP and MSA requirements impacted by automation
- Ensure quality requirements are properly integrated into project lifecycles from concept through commissioning, embedding quality-by-design principles
- Identify and mitigate risks associated with integration projects, such as functional safety, traceability and data integrity
- Verify that process capability, repeatability and reproducibility of vision systems meet customer and regulatory expectations
- Collate and report status on quality deliverables and key KPIs, escalating where required
EXPERIENCE:
Essential
- Proven experience in the automotive industry, preferably in a quality and/or engineering role
- Strong working knowledge and application IATF 16949, ISO 9001 with Internal or Lead Auditor certification
- Direct involvement with the automotive quality core tools and the ability to overcome associated roadblocks
- Advanced data analytics and business intelligence skills
Desirable
- Engineering-based degree
- Experience supporting or leading automation, industrialisation or capital projects
- Direct OEM interface experience
- Exposure to PLC-controlled systems, vision systems, MES and digital traceability
- Software development skills
Personal Attributes:
- Self-motivated, able to initiate and follow tasks through to completion
- Analytical with a data-driven mindset
- Ability to work in a fast-paced environment
- Objectivity – display the ability to effectively challenge
- Open minded and influential
- Good leadership and interpersonal skills
- Effective communicator through all necessary media
- Eligibility to work in the UK
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
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