Senior Manager, HVM PROD AI Enablement at Micron in Fab 16
- Company: Micron
- Location: Taichung - Fab 16, Taiwan
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-12
Job description
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description Summary The AI Enablement Senior Manager is responsible for leading the artificial intelligence, digital transformation, intelligent scheduling, and advanced manufacturing optimization initiatives across High Volume Manufacturing operations. This role coordinates organizations passionate about Digital Transformation (DX) and Scheduling Intelligence & Automation (SIA), driving the development and deployment of AI solutions, manufacturing systems, reporting platforms, simulation capabilities, and scheduling optimization engines to improve factory efficiency, turnaround speed, operational visibility, and decision-making efficiency. The position serves as the primary link between HVM and SMAI, ensuring manufacturing requirements are effectively translated into scalable digital solutions while accelerating AI adoption and value realization across the manufacturing organization. Responsibilities and Tasks AI & Digital Transformation Leadership (DX) Define and implement the fab AI and Digital Transformation roadmap aligned with manufacturing and business objectives. Lead the development and deployment of AI-enabled solutions, including Generative AI, intelligent assistants, knowledge management platforms, operational analytics, and digital manufacturing applications. Drive manufacturing system development and enhancement to improve operational efficiency, workflow automation, productivity, and decision-making effectiveness. Establish and govern factory reporting architecture, dashboards, and important metric visualization platforms to provide real-time business and operational insights. Partner with Production, Process Engineering, EE, OI, AMHS, IT, and SMAI teams to identify and prioritize high-impact AI and digital transformation opportunities. Lead the deployment and adoption of AI technologies and digital tools across manufacturing operations, ensuring measurable business value and sustainable operational improvements. Evaluate emerging technologies and establish scalable digital capabilities that support future manufacturing strategies. Scheduling Intelligence & Automation Leadership (SIA) Lead the development and continuous optimization of intelligent scheduling systems to support dynamic manufacturing requirements and business priorities. Partner with Production, Equipment Engineering, Process Engineering, OI, AMHS organizations to develop scheduling logic, dispatch strategies, and factory optimization algorithms. Improve scheduling effectiveness to enhance throughput, cycle time performance, WIP management, equipment utilization, and business plan attainment. Develop and enhance simulation and Digital Twin capabilities to evaluate operational scenarios, manufacturing constraints, and future production strategies. Analyze simulation results and translate findings into actionable recommendations that improve factory performance and operational decision making. Continuously improve scheduling methodologies and optimization models to support changing technology nodes, product mix, factory constraints, and business requirements. Ensure scheduling solutions remain aligned with manufacturing priorities while balancing productivity, cycle time, service level, and operational stability. SMAI Partnership & Program Leadership Serve as the primary manufacturing Point of Contact (POC) for SMAI. Act as the strategic bridge between local manufacturing organizations and SMAI, ensuring factory requirements, operational challenges, and business priorities are effectively communicated and translated into enterprise AI solutions. Partner with SMAI to identify, prioritize, pilot, and deploy high-value AI use cases across manufacturin
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