The Chief Data Officer (CDO) provides strategic oversight of the University’s data strategy and data analysis functions and is a member of the President’s Executive Council.

The CDO’s primary focus areas are governance, innovation, analytics, and operations. The CDO achieves these goals through the management of University Data and Analytics. The office implements approaches to data analysis, data architecture, data management, and institutional research.

The CDO works closely with university leadership along with other departments and offices and acts as a conduit from leadership and others in the institution to identify appropriate analytics to address institutional questions and communicate results to the President and other audiences.

The CDO oversees UDA staff, including an Associate Director and operations analysts and data scientists who: design and conduct complex analyses of the University and other pertinent external data; regularly interact with and communicate analytical outcomes to University decision-makers, including the President, Vice Presidents, Deans, faculty, staff, and students; develop innovative methods for conveying information; disseminate official results to appropriate agencies/audiences.

For complete job announcement and application procedures, click on:

                    https://jobs.montana.edu/postings/39067

             Equal Opportunity Employer, Veterans/Disabled 

Required qualifications:

1. Master’s degree in the social sciences, data science, statistics, higher education, industrial/financial engineering, or related field, or an equivalent combination of relevant education and/or experience.
2. Five or more years of work experience in institutional research or analytics-related contexts.
3. Demonstrated experience effectively communicating data analysis to organizational leaders and in public settings.
4. Progressively responsible project management experience.
5. Progressively responsible experience in managing staff, including retention, coaching, and performance/discipline management.
6. Demonstrated understanding of data management practices.
7. Advanced knowledge of research design.
8. Experience operating in a complex administrative information system.
9. Demonstrated experience with SQL.
10. Demonstrated successful experience applying data visualization tools and software (e.g.Tableau, Argos, Power BI) to facilitate user comprehension.