Senior Manager, HVM PROD AI Enablement

Req. ID:

JR114631 Senior Manager, HVM PROD AI Enablement

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 manufacturing operations.
• Drive alignment between site manufacturing priorities and enterprise AI strategies to improve business impact and solution adoption.
• Lead end-to-end AI program execution, including requirement definition, customer alignment, deployment planning, change management, user adoption, and benefit realization.
• Provide manufacturing subject matter expertise to SMAI and ensure delivered solutions are practical, scalable, and operationally effective.
• Promote knowledge sharing and best-practice deployment across manufacturing sites and global organizations.

## Analytics, Innovation & Manufacturing Optimization

• Build a data-driven culture by integrating AI, advanced analytics, simulation, and operational intelligence into daily manufacturing operations.
• Establish performance measurement frameworks to quantify business impact from AI, digitalization, scheduling optimization, and automation initiatives.
• Leverage manufacturing data to find opportunities that improve productivity, cycle time, quality, cost, and equipment performance.
• Drive innovation through experimentation, proof-of-concept development, rapid prototyping, and scalable deployment of advanced manufacturing technologies.
• Support the transition toward increasingly intelligent, predictive, and autonomous factory operations.

## Organization Leadership & Talent Development

• Build and lead high-performing DX and SIA organizations through coaching, mentoring, succession planning, and capability development.
• Develop organizational competencies in AI, advanced analytics, scheduling optimization, simulation technologies, automation, and system development.
• Foster a culture of innovation, collaboration, accountability, and continuous improvement.
• Lead organizational change management initiatives associated with AI adoption and digital transformation.
• Champion AI literacy and digital capability development across the manufacturing organization.
• Develop future leaders capable of driving smart manufacturing and autonomous factory initiatives.

Job Profile(s):

FAB Eng Manager 2

Relocation level: (TBD)

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