FE Supplier Quality Manager; Gas​/Target) Boise, Idaho, Posted

** HVM Phase
**** Sourcing, Selection, and Qualification
*** Lead quality risk assessments and implement mitigation strategies to support qualification activities.
* Deploy AI-based risk scoring models and digital dashboards to prioritize qualification risks and drive faster decision-making.
* Provide quality-focused input on sourcing and segmentation strategies, including business continuity planning, benchmarking, and supplier selection.
* Incorporate advanced analytics and AI-assisted scenario modeling into RFQ/RFI and supplier selection processes.
* Conduct technical risk assessment audits for new suppliers and materials to evaluate capability and readiness for HVM.
* Leverage digital audit tools and AI-assisted pattern recognition to identify systemic risks and hidden gaps.
* Establish, communicate, and ensure compliance with Supplier Requirements Standards (SRS).
* Support cross fab technology transfer activities in terms of new technology Bill of Materials (BOM) and driving global specifications alignment.
** Supplier Development and Excursion Management
*** Lead the definition and alignment of global material specifications for Target and Specs Gas categories
* Support development of smart specifications by integrating AI-driven process capability insights and predictive limits.
* Support Material Category Leads in shaping Category Quality Strategy, including Quality Roadmap and Defense Line Program.
* Embed AI/ML use cases into Quality Roadmap (e.g., predictive excursion detection, automated SPC monitoring, anomaly detection).
* Deploy Quality programs, lessons learnt and benchmark to/ with suppliers to ensure controls and preventive measures are in place to support Shift-Left-Strategy.
* Facilitate regular Quality and Technical Review (QTR) meetings with suppliers.
* Introduce data visualization and AI-assisted insights into QTRs to drive fact-based discussions and proactive actions.
* Manage supplier and sub-supplier changes in Supplier Change Management (SCM).
* Oversee resolution of globally impacting Target and Spec Gas quality issues.
* Utilize AI-driven root cause analysis tools (e.g., pattern mining, correlation analytics) to accelerate issue resolution.
* Collaborate with OCT MTE, Operations, and Facility teams for deep-dive investigations and implement corrective/preventive actions.
* Cascade lessons learned globally to ensure closed-loop prevention.
* Define, track, and monitor monthly supplier quality performance metrics and SRS compliance.
* Develop automated dashboards and AI-enabled performance monitoring systems for real-time supplier scorecards and predictive alerts.
* Continuously improve supplier quality processes to enhance productivity and efficiency.
* Partner with Procurement on supplier evaluations using quality metrics.
* Enable data integration across systems and apply AI analytics to drive objective, data-driven supplier decisions.
** Communication & Presentation
*** Provide weekly updates on the status and progress of all supplier-related activities.
* Maintain strong communication with Global Quality, Procurement, OCT, and cross-functional teams.
* Respond to issues promptly with appropriate escalation.
* Keep stakeholders informed of progress, risks, and opportunities.
* Leverage AI-assisted reporting tools to generate concise, data-driven insights and executive-ready summaries.
* Utilize visualization platforms and automated storytelling tools to enhance clarity and decision-making.
** Training and Development
*** Take ownership and accountability for achieving goals and completing actions.
* Establish clear, measurable personal development and performance objectives aligned with departmental and corporate priorities.
* Leverage guidance from coaches and mentors to build the skills necessary for your next career steps.
* Manage time and resources efficiently to maximize productivity.
* Continuously reflect on your performance, approach, and goals to drive improvement.
* Demonstrate a strong commitment to quality in all aspects of your work.
* Deliver assignments with accuracy, thoroughness, and timeliness.
* Show initiative and self-motivation in completing tasks, training, and projects.
* Continuously build AI/data literacy (e.g., understanding ML models, data pipelines, and digital tools) to enhance quality engineering effectiveness.
* Adopt and champion AI-enabled tools and digital workflows within SQE processes.
** Growth Opportunity
*** Collaborate with global SQEs and cross-regional teams on category initiatives.
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