Manager, Supply Chain Planning Intelligence

Micron Technology; Boise (ID); On-site; USD 110,000 - 145,000; Full time

Job summary

Micron Technology, located in Boise, Idaho, is looking for a Manager of Supply Chain Planning Intelligence with over 10 years of experience. This role involves leading a team to define and implement AI solutions in supply chain planning, driving innovations that improve efficiency and decision-making.

The ideal candidate will have a strong understanding of supply chain concepts and experience with AI applications. Your responsibilities will include defining the Planning Intelligence roadmap and leading high-impact AI projects across the department.

Qualifications

• 10+ years of experience in supply chain management and planning.
• Proven leadership in AI or advanced analytics.
• Strong understanding of AI and machine learning applications.

Responsibilities

• Define and own the Planning Intelligence roadmap.
• Identify and scale high-impact AI use cases.
• Partner with Data Engineering and Analytics Ops teams.

Skills

Supply chain planning concepts

AI/ML architectures

Agile delivery expertise

Tools

SAP IBP

Blue Yonder

Kinaxis

Snowflake

Job description

Req ID: JR103443 Manager, Supply Chain Planning Intelligence

Micron Technology is a world leader in innovating memory and storage solutions. 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 role is a planning transformation leadership position, not a traditional supply chain applications role.

Responsibilities

• Define and own the Planning Intelligence roadmap, focusing on what decisions Applications Teams should be automating, augmenting, or accelerating with AI over 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 such as exception-based planning, AI scenario generation, natural-language planning insights, and decision journaling. Drive end-to-end AI lifecycle from problem framing through PoC to production deployment, ensuring AI capabilities improve planning outcomes (fill rates, decision latency, manual effort reduction).
• Define the architecture for a unified Planning Intelligence layer that works with or without specific planning tools underneath.
• Earn trust from an existing team of Business Analysts, Software Engineers, and Solution Architects with deep SAP, Kinaxis, and Blue Yonder expertise. Apply intake rules ensuring each planning AI or analytics work starts with a named decision owner, identified execution system, and assigned data product owner.
• Partner with Data Engineering and Analytics Ops teams to consume governed Snowflake data products for every planning initiative.
• Act as the primary interface between Supply Chain business leaders, IT Enterprise AI leadership, and the EPS organization. Translate AI capabilities into business value, presenting clear measurable outcomes rather than model accuracy.
• Enable executive visibility with clear objectives and key results. Partner with global planning teams to ensure AI solutions reflect ground‑level planning reality.
• Lead and grow a hybrid team of Industry Analysts, Data Scientists, and Solution Architects. Build a culture of outcome ownership, where every AI initiative owns a business metric.
• Develop the team’s ability to operate at the boundary of AI and supply chain planning.

Minimum Qualifications

• Understanding of supply chain planning concepts (demand, supply, inventory, order promising, IBP) to frame AI problems accurately.
• Proven experience leading AI, GenAI, or advanced analytics programs from ideation to production at scale.
• Strong understanding of AI/ML architectures, agentic systems, and LLM‑based workflows.
• Familiarity with planning platforms (Blue Yonder, Kinaxis, SAP IBP) as context for embedding AI.
• Knowledge of modern data platforms (Snowflake, data products, semantic layers).

Preferred Qualifications

• Familiarity with enterprise AI tooling—LLM platforms, Copilot, agentic frameworks.
• Curiosity about how AI can reshape planning workflows beyond current tools.
• Strong Agile delivery expertise—roadmap management, prioritization, risk management.
• Ability to engage credibly with Data Scientists and Solution Architects on architecture and design decisions.

Job Profile

IT Manager 1

Relocation Level: TBD

Micron is an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.