Kinaxis FPP SME & Global Planning Lead

LAM RESEARCH Corporation

Tualatin (OR)

On-site

USD 110,000 - 150,000

Full time

14 days+
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Job summary

Lam Research in Tualatin, Oregon, is seeking a Kinaxis Subject Matter Expert (SME) for Factory Production Planning. You will own Kinaxis-related activities, drive system adoption, and lead continuous improvement to ensure reliable, executable production plans across Lam's global factory network.

The role involves cross-functional collaboration with DT, IT, and Planning teams, developing analytics, and shaping planning processes.

Qualifications

  • Bachelor's degree in Supply Chain, Operations, Engineering, Business, Information Systems, or related field.
  • 5+ years of planning experience with Kinaxis as a business owner or SME; led system enhancements and analytics.
  • Strong understanding of production planning, capacity planning, scheduling, MRP, and S&OP processes.

Responsibilities

  • Serve as the Kinaxis SME for Factory Production Planning (FPP) and SPOC for Kinaxis-related activities.
  • Own intake, prioritization, communication, and resolution of Kinaxis break-fix issues with DT, IT and Kinaxis teams.
  • Lead CIP initiatives to improve planning quality, automation, efficiency, and user experience.
  • Develop, maintain, and enhance Kinaxis reporting and analytics for SRF changes, ATP, and schedule adherence.
  • Translate business requirements into Kinaxis enhancements and manage the enhancement backlog.

Skills

Kinaxis SME
Planning expert
Stakeholder leadership

Education

Bachelor's degree in Supply Chain

Tools

Kinaxis

Job description

Lam Research in Tualatin, Oregon, is seeking a Kinaxis Subject Matter Expert (SME) for Factory Production Planning. You will own Kinaxis-related activities, drive system adoption, and lead continuous improvement to ensure reliable, executable production plans across Lam's global factory network.

The role involves cross-functional collaboration with DT, IT, and Planning teams, developing analytics, and shaping planning processes.

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