Director of Institutional Research and Analytics
Administrator
Sugar Grove Campus
Hybrid Option: Option: Yes
Join our dynamic team at Waubonsee Community College, where your career can flourish. We are committed to being an exceptional employer, offering a comprehensive benefits package with generous time off, low-cost medical, dental, and vision plans, and a secure pension plan through SURS. You'll also enjoy 14 paid holidays, including winter and Thanksgiving breaks. Be part of a transformative institution, dedicated to making a positive impact in our community and the lives of our students. Your future starts here - join us today!
Waubonsee Community College is committed to hiring and retaining exceptional faculty and staff who are committed to the college's culture of collaboration, professional growth and student success.
TheDirector of Institutional Research and Analytics is critical in advancing aculture of inquiry, continuous improvement, and data-aligned decision-makingwithin Waubonsee Community College. Reporting to and working collaborativelywith the Executive Director for Institutional Effectiveness, Innovation, andPlanning, this position integrates data science methodologies, machinelearning, and advanced analytics into institutional research to strengtheninsights that guide student success, enrollment strategies, and operationalefficiencies. The Director leads data governance, assessment, and institutionalresearch compliance efforts, collaborating with senior leadership to optimizeinstitutional effectiveness.
InstitutionalResearch & Assessment
Lead and oversee institutional research activities that support strategic planning, student success initiatives, and operational efficiencies.
Develop and execute a research agenda aligned with accreditation, post-secondary outcomes, and program evaluation.
Apply statistical modeling, machine learning, and data mining to student outcomes and program evaluation.
Manage data collection, analysis, and reporting, ensuring findings inform institutional policies and practices.
Support faculty and staff using research tools, statistical programming (e.g., R, Python), and methodologies for curriculum and program assessment.
DataGovernance & Analytics Strategy
Establish and enforce data governance policies, ensuring accuracy, security, and ethical use of institutional data.
Implement data visualization, predictive analytics, and AI/ML techniques to drive insight into student outcomes, workforce development, and institutional performance.
Collaborate with the IT department to enhance data systems for reporting, compliance, and strategic planning, (e.g., data warehouses, cloud-based analytics, and machine learning pipelines).
Foster a data-informed culture, providing training in modern analytics and data science techniques to faculty, staff, and administrators.
StakeholderEngagement & Leadership
Collaborate with faculty, administrators, and staff, ensuring research findings are integrated into decision-making processes.
Serve as a resource for institutional research, guiding evidence-based approaches to academic and administrative improvements.
Develop executive-level reports, translating complex analytics into actionable strategies for senior leadership.
Represent the college in state and regional discussions on institutional research, analytics, and data science applications in higher education.
Minimum Qualifications
Master's degree in a relevant field such as Higher Education, Educational Research, Statistics, Data Science, Public Policy, or a related discipline.
Minimum of three (3) years of significant experience in institutional research and/or data analytics responsibilities within a higher education setting.
A minimum of three (3) years of supervisory or leadership experience is required.
Strong background in data science, statistical modeling, and advanced analytics.
Expertise in institutional research, assessment, and IR compliance.
Experience with predictive modeling, machine learning, and AI applications in higher education or related fields preferred.
Proficiency in Python, R, SQL, and data visualization platforms (Tableau, Power BI).
Familiarity with cloud-based data platforms (AWS, Azure, or Google Cloud) preferred.
Ability to translate complex data into strategic recommendations.
Exceptional communication skills, with the ability to convey findings to diverse audiences.
Ability to lead teams, manage projects, and collaborate across departments.
Please attach the following documents when applying:
Special Instructions: Please attach all required documents at the time of application. Note: An official transcript is required at the time of hire.
EOE, including disability and veteran