Process Integration Conversion Coordinator

Micron•Boise, ID

About The Position

The Process Integration Conversion Coordinator (PICC) in Fab 4 supports successful manufacturing changes by partnering with Process Integration Engineering and cross-functional teams, including Change Management, Traveler Control, Manufacturing, PI Engineering, PI Technicians, and business partners in Operations, Information Systems, Planning, and Inventory. The role coordinates and implements system setup changes for automated lot processing, new product introductions, traveler revisions, process conversions, and other manufacturing changes. It serves as a central coordination point to ensure changes are implemented accurately, on time, and in accordance with business rules and best known methods. The coordinator maintains and improves process control systems and manufacturing execution workflows, troubleshoots system issues, and supports reliable automated lot processing. The role also develops documentation and training, provides guidance to users, and generates performance metrics and reports to identify opportunities for improved workflows, efficiency, and data quality. Approved AI and digital tools may be used to enhance analysis, reporting, documentation, training, and process execution, with generated content validated for accuracy and compliance. This position works first shift, Monday through Friday, from 8:00 a.m. to 5:00 p.m. Minimum education is a high school diploma, GED, or equivalent experience. The posting also lists an associate degree or an equivalent technical qualification or industry experience as a preferred qualification.

Requirements

High school diploma, GED, or equivalent experience.
Ability to work first shift, Monday through Friday, 8:00 a.m. to 5:00 p.m.
At least 4 years of semiconductor manufacturing experience, including semiconductor processes and systems, lot logistics, conversion management, troubleshooting, and process execution.
At least 4 years of experience using Microsoft Excel, Word, and PowerPoint for data analysis and reporting.
Strong analytical, problem-solving, organizational, communication, and teamwork skills.
Ability to manage multiple priorities, work independently, and partner effectively across technical and operational teams.

Nice To Haves

Associate degree (AAS, AS, or STEM-related), trade school certification, military technical training, or equivalent industry experience.
Experience with PI Tech activities, process conversions, traveler revisions, NPRs, or change management activities.
Experience with GeRM, GCPWeb, Sigma, SPACE, LMS, Queue Time, Travelers, or similar manufacturing systems.
Experience building Tableau dashboards and reports.
Interest or experience in applying AI tools.

Responsibilities

Coordinate and implement process conversions, traveler revisions, and New Part Requests (NPRs) to support manufacturing and new product introduction requirements.
Create, validate, and implement system setup changes across manufacturing platforms, including GeRM, Sigma, SPACE, Travelers, Queue Time, LMS, and GCPWeb.
Drive NPR startup activities and coordinate changes across multiple systems to support new product introductions while minimizing manufacturing risk and disruption.
Apply, maintain, and promote worldwide standards, business rules, and best known methods related to conversion management and process control.
Troubleshoot manufacturing system issues, verify process flows and configurations, and partner with stakeholders to ensure reliable automated lot processing.
Develop and maintain documentation, training materials, business rules, and lessons learned to improve organizational knowledge and operational consistency.
Provide training and guidance to engineers, technicians, and other users on GCPWeb, conversion processes, and related manufacturing systems.
Generate performance metrics, dashboards, and reports.
Identify and implement opportunities to streamline workflows, improve process efficiency, enhance data quality, and support continuous improvement initiatives.
Use approved AI and digital tools to improve data analysis, reporting, documentation, training, and process execution, validating AI-generated content for accuracy and compliance.