Head of AI-Driven Supply Chain Planning Intelligence

Micron Technology, Inc.

Boise (ID)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Medical plan
Dental plan
Vision plan
Paid time off
Paid holidays

Job summary

Micron Technology, Inc. seeks a Senior Manager to lead the Supply Chain Planning Intelligence within EPS. You will steer a hybrid team of analysts, data scientists and solution architects to elevate planning with AI-driven insights and autonomous capabilities across the supply chain planning ecosystem.

You will partner with SAP, Kinaxis and Blue Yonder experts while shaping the AI lifecycle from problem framing to production, driving measurable improvements in fill rates and planning efficiency.

Qualifications

  • Understanding of IBP and inventory planning concepts.
  • Experience leading AI or analytics programs at scale.
  • Knowledge of AI/ML architectures and LLM workflows.
  • Familiarity with Blue Yonder, Kinaxis, SAP IBP.
  • Knowledge of modern data platforms (Snowflake).

Responsibilities

  • Define and own the Planning Intelligence roadmap and AI adoption.
  • Lead a hybrid team of Analysts, Data Scientists, and Architects.
  • Partner with Data Engineering and Analytics Ops for governed data.
  • Translate AI capabilities into measurable business value for executives.
  • Collaborate with global planning teams to reflect ground realities.

Skills

AI leadership
GenAI
LLM workflows
Agile delivery
Stakeholder management
Supply chain planning

Tools

Blue Yonder
Kinaxis
SAP IBP
Snowflake

Job description

Micron Technology, Inc. seeks a Senior Manager to lead the Supply Chain Planning Intelligence within EPS. You will steer a hybrid team of analysts, data scientists and solution architects to elevate planning with AI-driven insights and autonomous capabilities across the supply chain planning ecosystem.

You will partner with SAP, Kinaxis and Blue Yonder experts while shaping the AI lifecycle from problem framing to production, driving measurable improvements in fill rates and planning efficiency.

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