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Associate Provost and Director of Institutional Effectiveness

Employer
Loyola University Chicago
Location
Illinois, United States
Salary
Salary Commensurate with experience
Date posted
Sep 3, 2021

Directs, plans and leads University research activities and related activities of the educational, administrative and support services occurring within the University that is used to support decision-making.

  • Prioritizes equity and social justice mission in assessment of institution practices and goals. 
  • Works collaboratively to identify, define, and prioritize institutional research and assessment in support of the areas of enrollment planning (including enrollment projections, recruitment yields, student retention, and student graduation); faculty instructional workload; academic and non-academic program review; instructional costs and academic productivity; peer benchmarking; student characteristics; and campus accreditation. 
  • Provides high-level leadership for the design, usage as a data source and continuing operation of existing enterprise data warehouse system. 
  • Develops and promotes policies for data governance and integrity. 
  • Works with faculty and staff to identify needs for information and problems for investigation, identifies areas for faculty participation in institutional research activities; conducts research to answer questions of an institutional nature; supervises the collection, analysis, and preservation of data for use by the institution in studies of University policies and operation. 
  • Oversee the development of comprehensive data models in responding to needs from college administration and external agencies; reviews, interprets, and disseminates findings of research studies. 
  • Monitors, reviews, and reports broad, national and industry trends in academia regarding collection, analysis, and reporting practices to keep current with evolving national practices. 
  • Directs and prepares a variety of both internal and external narrative and statistical records, reports and files related to research, projects, institutional assessment, planning, decision-making, quality improvement, policies, procedures, personnel, enrollment, and assigned activities.  Including data for external reporting, such as accreditation and state and federal data. 
  • Participates in and provides leadership with the assessment of student learning outcomes. 
  • Provides data-informed recommendations centered on the student experience across diverse identities, backgrounds, and educational paths. 
  • Leads a team of 8-10 staff members 
  • Serves on university committees and task forces on an as-needed basis, as well as other duties to support the University’s mission. 

Preferred Qualifications:

  • Demonstrated ability to lead and manage a team of research and data administration professionals; demonstrated ability to manage across a complex and dynamic set of projects with competing deadlines and priorities; evidence of content expertise in research design and statistical methodologies that include both qualitative and quantitative approaches; experience providing leadership with regard to data policy, governance, access, integration, and standards; demonstrated success in presenting data and analyses clearly and accurately in both verbal and written formats; and a proven ability to work in partnership with senior leadership. 
  • Demonstrated commitment to building and sustaining a diverse, inclusive, and equitable working and learning environment.   
  • Understanding of complexities inherent in large, multi-campus university systems. 
  • Ability to effectively present information and respond to questions from faculty, department chairs, program directors, deans, the provost, and the president. 
  • Doctorate degree in research methods, or in a field related to social sciences, measurement or quantitative methods. 
  • Ten years higher education experience involving a combination of strategic planning, program review, outcomes assessment and institutional research. 
  • Understanding of data warehouse structure, business intelligence models, and advanced applied statistical knowledge and skills. 
  • Experience with reporting and visualization platforms 
  • Experience with data governance initiatives and tools 
  • Experience with relational databases, SQL, programming languages, data mining, predictive analytics, and modeling 
  • Experience leading teams 

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