Supplier Quality Engineer

Supplier Quality Engineer

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE partner/customer office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

Summary:
Support supplier quality management by leveraging AI tools for predictive risk assessment, conducting audits, analyzing performance data, and driving continuous improvement initiatives.

Collaborate across teams to ensure supplier compliance, resolve issues, and enhance product quality.

Key Responsibilities:


* Develop and implement quality requirements, integrating AI-enabled practices.


* Conduct supplier audits and evaluate manufacturing and quality systems.


* Analyze quality data and AI-generated insights to identify risks and trends.


* Lead root cause analysis, CAPA, and issue escalation processes.


* Use AI dashboards and models to generate and validate predictive insights.


* Convert AI insights into actionable supplier quality improvements and strategies.


* Ensure AI governance and data integrity in decision-making.


* Communicate findings and collaborate with suppliers and internal teams for quality improvement.

Qualifications:


* Bachelor's degree in Engineering, Data Analytics, or related field.


* 2-4 years of experience in quality, supplier quality, or manufacturing roles.


* Familiarity with dashboards, statistical analysis, QMS, and AI tools preferred.


* Basic understanding of AI governance and predictive analytics is advantageous.

Skills:


* Data analysis and problem solving; trend and risk identification.


* Use of AI tools and dashboards for quality decision-making.


* Ability to validate AI insights and translate into supplier actions.


* Cross-functional collaboration and effective communication skills.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are.

We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills ...