Division Supplier Quality Engineer

Role Purpose

Ensure suppliers’ quality system and process control effectiveness going to meet Corning’s requirement and push suppliers’ quality continuous improvement. Assist to qualify new suppliers from quality view.

Key Responsibilities

Supplier Development & Qualification:
- Collaborate with Div. Engineering / RQA / Procurement / Technology / AE for development, qualification of new materials or new suppliers to meet plants’ requirement
- Coordinate with RQA / AE(CE) to qualify and verify new materials or new suppliers in customer side
- Lead suppliers' samples of trial run to deliver plants on time and to track quality status
- Ensure supplier smooth transition from samples to mass production process

Supplier MP & IQC
- Manage suppliers through QA architectures or procurement strategies
- Manage supplier PCN (4M change) and coordinate with supplier, Div. Engineering, Procurement and Technology

Supplier Audit & Abnormality
- Improve incoming material quality and related issues resolving
- Migration Process Coordinate supplier of new change
- Conduct supplier audit and ranking performance review
- Reach quality agreement with suppliers, driving supplier quality management

Offload FS Quality Assurance
- Check offload FS input performance, issue CAR, review NP from sister plant
- Work with sister plant for FS performance continuous improvement
- Handle non-standard offload FS inventory
- Analysis offload FS input result and point out opportunities

Experiences/Education - Required

• B.S or above degree in Mechanical, Engineering, Chemical, IE or related major
• At least 3 years supplier quality management experience or quality management experience

Skills

• Required Skills
  • Management Skill and Leadership
  • Good knowledge in Statistic Tools, SPC, QC Story and Quality relative tools, GB certified.
  • Good English comprehension in spoken, writing and reading.
  • Good communication and coordination skill for cross department cooperation
• Desired Skills
  • Logical thinking and data oriented.
  • Problem solving and decision skill.
  • Aggressive and willing to take challenge and work hard and smart.
• Soft skills
  • Computer skill and project management
  • Good personality, coaching and negotiation skill.
  • Strongly in data analysis/ Statistical skill.
  • Influence others, gains cooperation from others to obtain information and accomplish goals.