Georgetown University

Position Title/Short Description

Full Text of JOE Listing:

The Associate Vice President, Institutional Research is the leader of the Office of Assessment and Decision Support (OADS). This institutional research department (OADS) at the university develops, uses, assesses and refines the data systems the university employs. These data systems are used to assist key senior university decision makers, from the President, Provost and C.O.O. to academic department chairs, in providing data and analytics information critical to institutional decision-making. The Associate Vice President is responsible for leading the workforce within OADS, and for creating operating structures and systems that allow OADS to provide institutional research, reporting and predictive analytics resources. This individual will serve as a liaison to data stewards and sources across the university and oversee efforts to combine and aggregate data resources. This individual will advocate both for data users and for further developed data systems and structures as the university creates more sophisticated tools for decision-making. S/he will work closely with the Provost and the Main Campus Chief Financial Officer, as well as with leaders across the university.

In this role, the Associate Vice President directs the initiative to integrate data in order to provide predictive statistical modelling capacity for the university. This work will continue to draw on the integration of existing resources and will require new resources to be created, leading to well-developed tools to model various scenarios in the decision making process. This role requires that the Associate Vice President, Institutional Research have a strong command of statistical data analysis and data visualization tools to assist in communicating with many varied university audiences. This includes linear model specification, estimation, diagnostics, and presentations including ordinary least squares (OLS) estimation and its machine learning analogs, multi-variate cluster analysis, regression tree estimation, and data visualization.

This leader will also interact with UIS frequently in the course of framing new data structures and predictive tools. The AVP Institutional Research will work closely with many units including those that are academic, business, finance, operational, and information-based, in nature. This individual will foreground evidence-based reporting and decision making at the university and establish new means of predictive modelling.

Requirements:
Master's degree in Data Science, Statistics, Economics, or Computer Science
At least 10 years experience in statistical modeling, evidence-based decision support, analytics, data curation, and/or related consulting experience.
Familiarity with SAS, Stata, R or equivalent software
Exceptional communications skills, both in written form and in and data visualization
Excellent leadership skills and experience in leading a small team
Experience at an educational institution is a plus, though not required