Spec Gas​/ Specs Chem Global Supplier Quality Engineering (SQE) Engineer

Technology Development Phase

Collaborate with the TD team on First of a Kind (FOAK) Materials Quality Readiness, Supplier Quality Programs, and Specification definition—instrumental in ensuring the success of new technode development.

Leverage AI/ML-driven analytics to assess FOAK material risks, predict failure modes, and accelerate qualification readiness using historical and real-time data.

Participate, support, and recommend from a Quality perspective on FOAK materials sourcing strategies, including business continuity, benchmarking, new markets, and Quality capability assessment.

Utilize data-driven insights and predictive modeling to enhance supplier capability assessments and sourcing decisions.

Support cross-fab technology transfer activities regarding New Technology BOM and drive supplier Quality programs to address Critical Concerns About New, Unique, Different, and Difficult materials.

Lead cross-functional Category Strategy Team meetings to fan out lessons learned from HVM issues to R&D, align on FOAK materials strategy, ensure closed-loop communication, and prevent recurrence of issues globally.

Apply AI-enabled knowledge management systems to systematically capture, classify, and disseminate lessons learned across global sites.

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).

Lead the definition and alignment of global material specifications for Specs Gas & Specs Chem.

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 the Quality Roadmap (e.g., predictive excursion detection, automated SPC monitoring, anomaly detection).

Implement quality programs, benchmarking, and preventive controls aligned with 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 through SCM process.

Oversee resolution of globally impacting photochemical 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.

Provide weekly updates on 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.

Take ownership and accountability for achieving goals and completing actions.

Establish measurable development objectives aligned with corporate priorities.

Leverage coaching and mentorship for growth.

Manage time and resources effectively.

Reflect and continuously improve performance.

Demonstrate strong commitment to quality and deliver with accuracy and timeliness.

Show initiative and self-motivation.

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.

Collaborate with global SQEs and cross-regional teams on category initiatives.

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