AI-Powered Supply Chain Analytics Leader

Applied Materials, Inc.

California (MO)

On-site

USD 194,000 - 266,000

Full time

11 days ago
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Job summary

Applied Materials, a global leader in materials science, seeks a hands-on analytics leader to turn the supply chain roadmap into governed, AI-assisted tools. You will build scalable workflows, mentor analysts, and drive delivery against cycle-time and quality SLAs.

Based in Santa Clara, CA, the role emphasizes AI operationalization, data governance, and collaboration with procurement, order fulfillment and reverse value chain teams to deliver measurable business impact.

Qualifications

  • Hands-on AI delivery in supply chain with measurable impact.
  • Led or mentored analysts and managed delivery against demand.
  • Strong technical foundation: SQL, Python, BI.
  • Applied AI tooling: LLMs and generative AI, MLOps.
  • Experience deploying governed services on enterprise platforms (Azure / Kubernetes).
  • People leadership and collaboration with stakeholders to drive decisions.

Responsibilities

  • Embed AI, generative AI, and LLM-based methods into supply chain analytics workflows.
  • Own delivery against roadmap and SLAs for Global Service Operations.
  • Develop repeatable AI-assisted workflows and governance.
  • Move tools from prototype to production with data lineage and lifecycle management.
  • Establish AI governance: prompts, versioning, monitoring.
  • Lead a team of analysts delivering BI and strategic planning.
  • Partner with stakeholders to translate decisions into analytics.
  • Track cycle time, quality, and business impact.
  • Design analytics from diverse data sources.

Skills

AI analytics delivery
Leadership of analysts
SQL & Python
Databricks / lakehouse
MLOps / ARO Azure
Stakeholder engagement
Kubernetes / OpenShift

Education

Bachelor's degree
Advanced quantitative degree

Tools

Databricks
Kubernetes / OpenShift
Azure ML
MLflow

Job description

Applied Materials, a global leader in materials science, seeks a hands-on analytics leader to turn the supply chain roadmap into governed, AI-assisted tools. You will build scalable workflows, mentor analysts, and drive delivery against cycle-time and quality SLAs.

Based in Santa Clara, CA, the role emphasizes AI operationalization, data governance, and collaboration with procurement, order fulfillment and reverse value chain teams to deliver measurable business impact.

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