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Lam Research

Mgr, Global Operations Analytics & AI Enablement - US-OR-Tualatin (1034), United States

Lam Research Remote friendly (US-OR-Tualatin (1034), United States) 17 days ago
Non-Engineering

Originally posted 18 September 2026 by the employer — open 0 days.

About the role

This role leads a team of Operations Analysts focused on delivering actionable insights, scalable reporting, operational analytics, and process improvement across Global Operations. You will integrate artificial intelligence into scalable solutions and governed datasets, enabling predictive analytics, automation, and faster decision-making across the organization.

What you'll do

  • Lead, coach, and develop an Operations Analyst team supporting Global Operations analytics, reporting, dashboards, and process improvement initiatives.
  • Establish team priorities, operating cadence, performance expectations, and accountability mechanisms for timely delivery of analytical solutions.
  • Drive development, automation, and governance of scalable reporting solutions, dashboards, datasets, and self-service analytics using tools such as Excel, Power BI, and SAP Business Objects.
  • Integrate AI-enabled capabilities into operational workflows, datasets, and analytics solutions.
  • Partner with stakeholders to identify high-value automation and AI use cases aligned to operational priorities.
  • Ensure compliance with analytical standards, data governance policies, access controls, and data integrity requirements.

What you'll need

  • Bachelor's degree in business, supply chain, engineering, data analytics, operations, or related field with 4-6 years of supervisory experience.
  • Experience leading, supervising, or mentoring professional analysts or analytical teams in a global, matrixed operations environment.
  • Strong experience developing data visualizations, reports, dashboards, and business insights using tools such as Power BI, Excel, or SAP Business Objects.
  • Demonstrated ability to define analytical standards, govern datasets, improve data quality, and ensure reporting accuracy.
  • Experience applying AI, automation, predictive analytics, or advanced analytics concepts to improve operational efficiency.
  • Demonstrated proficiency in process improvement methodologies, change management, and operational excellence practices.
  • Strong knowledge of planning, order execution, supply chain, manufacturing, logistics, or related semiconductor operations processes.

Nice to have

  • MBA or equivalent advanced degree.
  • Experience leading analytics or digital transformation teams supporting Global Operations, Order Management, Order Execution, Manufacturing, Supply Chain, or Production Planning.
  • Hands-on experience with AI-enabled analytics, machine learning concepts, data pipelines, semantic models, or governed enterprise datasets.
  • Lean Six Sigma Black Belt or equivalent continuous improvement certification.
  • PMP or equivalent project/program management certification.
  • Semiconductor industry experience.
Lam Research

Lam Research

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US-OR-Tualatin (1034), United States
Hybrid
17 days ago

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