its mission of inspiring hope, advancing skills, and transforming lives.
About this role
Responsible for curating and leading a culture of data literacy and decision making across the organization. Provides leadership for research, reporting, and business intelligence to support institutional goals. Serves as the primary custodian of institutional data and ensures timely and accurate submission of state and federal reports. Directs the development, analysis, and dissemination of data, which includes, but is not limited to, academic programs, accreditation, enrollment, engagement, economic impact, and demographics.
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We’d love to hear from you if you have the following:
Education and Experience:
- Master’s degree
- Six years of related experience in research activities in education or a related field, with at least two years in supervisory or leadership roles
Knowledge of:
- Microsoft Office Professional or similar application
- Statistical analysis software (e.g., SPSS, SAS, Python).
- Data visualization and business intelligence tools (e.g., Power BI, Tableau)
- State and federal reporting and compliance in higher education (e.g., IPEDS and state reporting)
- Survey methodology, questionnaire design, and program evaluation
- Institutional data systems (student information, enrollment, HR, finance)
Skilled in:
- Research and data analysis to arrive at valid conclusions, recommendations and plans of action
- Quantitative and qualitative research design and analysis, including predictive analytics and forecasting.
- Converting complex information into simple, readable form
- Written and oral communication techniques sufficient to develop and deliver presentations, reports, and summaries of quantitative insights to non-quantitative audiences in order to foster understanding and acceptance of findings
- Project management and attention to detail while maintaining effective time and task management
- Designing dashboards, scorecards, and data visualizations
- Translating complex analytic findings into accessible, actionable narratives for non-technical audiences
- Project management, prioritization, and attention to detail
- Coaching, mentoring, and motivating staff
Preferred, but not a must:
Education and Experience:
- Doctoral degree
- Experience in a community college or multi-campus environment
- Demonstrated experience with advanced analytics, such as machine learning methods or AI-assisted modeling
- Experience with data architecture and pipelines (e.g., data warehouses, ETL)
The minimum base pay range for this position starts at $83,826.00 - $104,783.00 annually; however, the offer may vary based on the candidate’s education and experience.
Application Deadline
This position is open until filled with an initial review date of May 26, 2026.
