Micron Technology

Manager,SupplyChainPlanningIntelligence

$145–215k ~AI est. Boise, Idaho, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, Supply Chain Planning Intelligence at Micron Technology. Skills: Planning Intelligence, AI, Generative AI, Supply chain planning. Define Planning Intelligence roadmap. Own Planning Intelligence roadmap”

What You'll Achieve.

Improve fill rates; Reduce decision latency; Reduce manual effort

Industry & Context.

Problems you'll solve

Problem framing; Exception-based planning; AI scenario generation; Natural-language planning insights; Decision journaling

What They're Looking For.

Must Have

10+ years of experience, Proven experience leading AI programs, Proven experience leading GenAI programs, Proven experience leading advanced analytics programs, Understanding of AI/ML architectures, Understanding of agentic systems, Understanding of LLM-based workflows, Agile delivery expertise, Roadmap management, Prioritization, Risk management, Sufficient understanding of supply chain planning concepts, Understanding of modern data platforms, Ability to engage credibly with Data Scientists, Ability to engage credibly with Solution Architects

Nice to Have

Familiarity with enterprise AI tooling, Familiarity with LLM platforms, Familiarity with Copilot, Familiarity with agentic frameworks, Curiosity about how AI can reshape planning workflows, Familiarity with planning platforms, Familiarity with Blue Yonder, Familiarity with Kinaxis, Familiarity with SAP IBP

What You'll Do.

Define Planning Intelligence roadmap

Own Planning Intelligence roadmap

Lead adoption of Generative AI

Lead adoption of agentic workflows

Lead adoption of evolving AI tools

Identify high-impact use cases

Scale high-impact use cases

Ensure AI capabilities improve planning outcomes

Define architecture for Planning Intelligence layer

Earn trust from existing team

Apply team's intake rule

Partner with Data Engineering teams

Partner with Analytics Ops teams

Act as primary interface

Translate AI capabilities into business value

Enable executive visibility

Partner with planning teams globally

Build culture of outcome ownership

Develop team's ability to operate at boundary

How You'll Work.

Team & Collaboration

Cross-functional teams; Data Engineering teams; Analytics Ops teams; Supply Chain business leaders; IT Enterprise AI leadership; EPS organization; Planning teams globally

Communication Scope

Translate AI capabilities; Present business value; Executive visibility

Process & Methodology

Agile delivery, Roadmap management, Prioritization, Risk management

Full 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. We are seeking a Manager with 10+ years of experience to lead the Supply Chain Planning Intelligence team within our Enterprise Planning Solutions (EPS) organization, part of Micron’s IT Enterprise AI function. This is not a traditional supply chain applications role—it is a planning transformation leadership role. In this position, you will lead a hybrid team of Industry Analysts, Data Scientists, and Solution Architects to build and scale the intelligence layer across Micron’s supply chain planning ecosystem. Your team will focus on making planning smarter, faster, and increasingly autonomous, independent of the underlying tools or platforms. **Responsibilities:** * **AI-Led Planning Transformation (Primary Focus):** Define and own the Planning Intelligence roadmap — what decisions Applications Teams should be automating, augmenting, or accelerating with AI in the next 12–24 months. Lead adoption of Generative AI, agentic workflows, and evolving AI tools across supply chain planning domains. Identify and scale high-impact use cases — exception-based planning, AI scenario generation, natural-language planning insights, decision journaling. Drive end-to-end AI lifecycle from problem framing through PoC to production deployment. Ensure AI capabilities improve actual planning outcomes — fill rates, decision latency, manual effort reduction — not just deployment counts. Define the architecture for a unified Planning Intelligence layer that works with or without specific planning tools underneath. * **EPS Team Integration & Org Collaboration: **Earn trust from an existing team of Business Analysts, Software Engineers, and Solution Architects who have deep SAP, Kinaxi

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