FE Supplier Quality Manager (Gas/Target)

Micron•Boise, ID

25d

About The Position

The FE Supplier Quality Manager leads supplier quality activities for Target and Specialty Gas categories, including sourcing, selection, qualification, supplier development, excursion management, performance monitoring, and cross-functional communication. The role supports high-volume manufacturing (HVM) readiness by assessing quality risks, conducting supplier and material audits, establishing compliance with Supplier Requirements Standards (SRS), and aligning material specifications globally. It works with Category Leads, Procurement, Global Quality, OCT MTE, Operations, Facilities, and suppliers to prevent and resolve quality issues and improve supplier performance. The position incorporates analytics, AI/ML, and digital tools into supplier quality processes. Examples include risk scoring, predictive excursion detection, automated SPC monitoring, anomaly detection, AI-assisted root-cause analysis, digital audits, dashboards, supplier scorecards, and data-driven reporting. The role also supports cross-fab technology transfers, quality roadmaps, supplier change management, corrective and preventive actions, and the global sharing of lessons learned. The manager provides regular progress updates, communicates risks and opportunities, and supports stakeholder decision-making. The role emphasizes ownership, continuous learning, quality, productivity, and development of AI/data literacy. It offers opportunities to collaborate with global SQEs and contribute to supplier digitalization programs and AI-enabled quality use cases. Candidates should have a bachelor’s or master’s degree in Chemical, Chemistry, or Materials Engineering, or a related field. At least five years of experience in the semiconductor industry or a high-volume manufacturing environment is highly advantageous. Experience in supplier quality management, global supplier performance improvement, and cross-functional collaboration is required. Familiarity with quality systems, manufacturing processes, analytics, and digital or AI tools is relevant to the role.

Requirements

Bachelor’s or master’s degree in Chemical Engineering, Chemistry, Materials Engineering, or a related field.
At least five years of experience in the semiconductor industry or a high-volume manufacturing environment is highly advantageous.
Proven supplier quality management experience, including managing and improving performance across global suppliers and international supply chains.
Ability to collaborate effectively with global, cross-functional teams, including Manufacturing, Procurement, Engineering, Quality, and Supply Chain.
Strong problem-solving, stakeholder-management, and communication skills, with the ability to influence quality improvements across a global supplier network.
Proficiency in Microsoft Office Suite, including PowerPoint, Word, Excel, and OneNote.
Ability to work independently in a dynamic, fast-paced environment and make data-driven decisions with minimal supervision.
Ability to communicate effectively with stakeholders at all levels and translate data insights into actionable recommendations for technical and non-technical audiences.
Strong analytical capabilities and hands-on experience with Measurement System Analysis (MSA), calibration, Statistical Process Control (SPC), FMEA, problem-solving methodologies, and quality management systems.
Basic familiarity with ISO 9001 and IATF 16949 and their application in manufacturing environments.
Ability to use data analytics and AI insights to assess material risks, performance trends, and variability.
Commitment to quality, ownership, accurate and timely delivery, and continuous learning.

Nice To Haves

Experience in semiconductor manufacturing processes, wafer fabrication, or related process engineering disciplines.
Exposure to incoming material control (IQC) or manufacturing quality processes.
Experience leveraging digital or AI-driven tools to improve quality performance, yield, or supplier management.
Experience with data visualization tools such as Power BI and AI-assisted productivity tools for insights, dashboards, and executive summaries.
Experience applying AI/ML models or advanced analytics to quality analytics, supplier performance monitoring, or excursion management.
Familiarity with data pipelines, automation, and digital dashboards for real-time monitoring and decision-making.
Ability to integrate supplier, fab, and metrology data sources to drive insights and continuous improvement.
Experience using advanced analytics or AI/ML techniques, such as anomaly detection, predictive modeling, and trend analysis, for root-cause analysis and process control.

Responsibilities

Lead quality risk assessments and mitigation strategies for supplier sourcing, selection, and qualification.
Provide quality input to sourcing and supplier segmentation strategies, including business continuity planning, benchmarking, and supplier selection.
Conduct technical risk assessment audits of prospective suppliers and materials for HVM capability and readiness.
Establish, communicate, and ensure compliance with Supplier Requirements Standards (SRS).
Support cross-fab technology transfers, including new-technology bills of materials and global specification alignment.
Define and align global material specifications for Target and Specialty Gas categories.
Support Material Category Leads in developing Category Quality Strategies, Quality Roadmaps, and Defense Line Programs.
Deploy quality programs, lessons learned, and benchmarks with suppliers to establish controls and preventive measures.
Facilitate regular Quality and Technical Review (QTR) meetings with suppliers.
Manage supplier and sub-supplier changes through Supplier Change Management (SCM).
Oversee resolution of globally impacting Target and Specialty Gas quality issues; collaborate with OCT MTE, Operations, and Facilities on investigations and corrective/preventive actions.
Cascade lessons learned globally to support closed-loop prevention.
Define, track, and monitor monthly supplier quality performance metrics and SRS compliance.
Continuously improve supplier quality processes to enhance productivity and efficiency.
Partner with Procurement to evaluate suppliers using quality metrics and data-driven analysis.
Provide weekly updates on supplier-related activities, communicate with global and cross-functional stakeholders, and escalate issues promptly.
Use AI-assisted reporting and visualization tools to communicate concise, data-driven insights and recommendations.
Set and pursue measurable development and performance objectives; manage time and resources, complete assignments accurately and promptly, and continuously improve performance.
Build AI/data literacy and adopt and champion AI-enabled tools and digital workflows in supplier quality engineering.
Collaborate with global SQEs and cross-regional teams on category initiatives and contribute expertise to supplier digitalization and AI/ML use cases.
Build material-criticality expertise and act as a primary liaison with suppliers.
Drive innovation in digital quality ecosystems, including data integration, automation, and AI-enabled supplier collaboration platforms.