Onsite Supplier Quality Engineer – AI-Driven Quality

Hewlett Packard Enterprise; Aguadilla (PR); On-site; USD 68,000 - 90,000; Full time

Benefits offered by this job

Health & Wellbeing

Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise is seeking a quality professional to support supplier quality management using AI tools and predictive analytics. You will audit suppliers, analyze data, and drive continuous improvement across manufacturing and quality systems.

The role requires a Bachelor's degree in a related field and 2–4 years' experience. Familiarity with dashboards, QMS and AI tools is preferred, with strong collaboration across teams.”

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.

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.

Skills

Data analysis

Problem solving

Cross-functional collaboration

Trend and risk identification

Education

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

Tools

Dashboards

Statistical analysis

QMS

AI tools

Job description

Hewlett Packard Enterprise is seeking a quality professional to support supplier quality management using AI tools and predictive analytics. You will audit suppliers, analyze data, and drive continuous improvement across manufacturing and quality systems.

The role requires a Bachelor's degree in a related field and 2–4 years' experience. Familiarity with dashboards, QMS and AI tools is preferred, with strong collaboration across teams.”