Work-Based Learning Experiences (WBLE) Data Coordinator

Working Title: Work-Based Learning Experiences (WBLE) Data Coordinator

State Role Title: Policy and Planning Specialist I

Position Type: Full-time Staff (Classified)

Position Status: Full-Time

FLSA Status: Non-Exempt: Eligible for Overtime

 

College/Division: Student Life and Involvement

Department: 100358 - University Career Center

 

Pay Band: 4

Pay Rate: Pay Range

Specify Range or Amount: $45,739 - $47,250 

 

Is this a JMU only position? No

Is this a grant-funded position? No

Is this a Conflict of Interest designated position? No

 

Beginning Review Date: 08/03/2026

 

About JMU:

At James Madison University (JMU), we’re more than just a publicly funded institution — we’re a vibrant, welcoming community located on a stunning campus where innovation, collaboration, and personal growth thrive. Our mission is to prepare students for a bright future, and we believe that starts with supporting the people who make it all possible: our employees.

Why Work at JMU?
We offer a comprehensive benefits package designed to support your professional journey and personal wellbeing:
• Generous Leave: Enjoy paid vacation, sick leave, parental leave, community service leave, and 19 paid holidays annually.
• Comprehensive Health Coverage: Access high-quality health insurance options that fit your needs.
• Retirement Options: Plan for your future with retirement benefits through the Virginia Retirement System.
• Employee Well-Being: Our Balanced Dukes program promotes wellness and work-life integration through resources, events, and support.
• Tuition Waiver Program: Advance your education with our tuition waiver program for undergraduate and graduate courses taken at JMU.

At JMU, we believe in Being the Change — and that starts with creating an environment where you can grow, contribute meaningfully, and feel supported every step of the way.

Discover what makes JMU a great place to work: bit.ly/JMUEmployment

 

General Information:

The Data Coordinator for Work-Based Learning Experiences (WBLEs) has 2 primary functions: (1) maintaining an accurate record of WBLE information connected to the JMU curriculum and (2) tracking 22,000 students’ completion of WBLEs. WBLE refers to work-based learning experiences such as internship, practicum, clinical, course-based WBLE project, undergraduate research, cooperative education, on-campus internships, etc.

The successful Data Coordinator will be able to: 1) Demonstrate attention to detail and facility in working with databases of tens of thousands of data points, 2) collaborate with faculty and staff across units to collect and report data, 3) work with university systems, and 4) assist in developing mechanisms to track details on every undergraduate students’ completion of WBLE experiences.

 

Duties and Responsibilities:

QUALIFIED COURSE TRACKING (30%)
Establish mechanisms to collect and confirm detailed information related to courses identified as WBLE.

• Verify the accuracy of more than 1,251 sections of WBLE tagged courses) to verify a WBLE project is present and confirm names of partner organizations and industry fields if possible (as per requests from State Council of Higher Education for Virginia or SCHEV)
• Audit WBLE tags in the student information system and update tags in course catalog as needed.
• Identify from each of 54+ Academic Unit Heads and professional staff what new courses are coming online and assess whether these courses should have a WBLE attribute

STUDENT COMPLETION DATA COLLECTION: (40%)
Contribute to developing a system to track student completion of qualified experiences, including those attached to coursework and those completed outside of academic credit. This entails putting together data from multiple sources (including the Senior Compass, course enrollment information for qualified courses, Qualtrics student survey data, and additional sources).

• Track WBLE completion data for all 20,000+ undergraduate students annually
• Use advanced database cleaning strategies such as fuzzy match, VBA and Python programming to compile records and minimize duplicate records resulting from the incorporation of data from mul