Western Governors University

Western Governors University (WGU) is seeking a Subject Matter Expert to participate in our Implementing Effective Solutions in Lean Six Sigma Course Congruency Check project.
This position is 100% remote
.
Subject Matter Experts provide valuable real-world knowledge and experience in the design and development of the degree programs and courses we offer our students.
This is a part-time/project-based position in which you would work with WGU as an Independent Contractor.
Must reside in and be eligible to work in the United States
.
Subject Matter Experts should meet the following criteria
:
Qualifications
Experience in Supply Chain, Operations Management, Lean Six Sigma DMAIC Methodology, data-supported decision analytics.
<ul>
<li>3-5 years industry experience.
</li>
<li>Experience supporting/managing complex supply chain and business operations processes, analyzing and visualizing data, building dashboards.
</li>
<li>Master’s Degree + Three years of relevant experience, or PhD in supply chain management, logistics, business management or related fields.
</li>
</ul>
Project Information
Tentative Dates:
11/02/26 to 11/06/26 (Subject to slight change)
Location
: Remote
Time commitment:
Approximately 5 hours per week.
Compensation:
$325
Other compensation and benefits
: This position is for an independent contractor and is not eligible for other compensation or benefits.
Scope of work:
All work will be self-paced, and no specific meetings will be required. Meetings will be scheduled on an as-needed basis, or at the request of the SME.
Meetings/Workshops:
As needed
Application Deadline: 10/27/26
How to Apply:
LinkedIn job posting
If you are selected, you will receive an email with the next steps to join the project. If you do not hear from us, it is because we have either filled the position or your experience/degree did not match the criteria.
Thank you for your interest.

Subject Matter Expert for Implementing Effective Solutions in Lean Six Sigma

Subject Matter Expert for Implementing Effective Solutions in Lean Six Sigma

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