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Chief Data Officer

Application Procedure:


Chief Data Officer
University Data and Analytics
For complete job announcement and application procedures, click on:
Equal Opportunity Employer, Veterans/Disabled

Job Duties

  • The Chief Data Officer (CDO) under the guidance of the Vice President for Information Technology provides strategic oversight of the University’s data strategy and data analysis.

    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 oversees UDA staff, including 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.

Job Qualifications

Required Qualifications – Experience, Education, Knowledge & Skills
  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 in 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 successful experience applying data visualization tools and software (e.g.Tableau, Argos, Power BI) to facilitate user comprehension.
Preferred Qualifications – Experience, Education, Knowledge & Skills
  1. Terminal degree from an accredited university in social sciences, data science, statistics, industrial/financial engineering, social, behavioral, or decision sciences, higher education or related field from an accredited university, or an equivalent combination of relevant education and/or experience.
  2. Progressively responsible experience working in a higher education setting.
  3. Experience operating in an Ellucian Banner ERP environment.
  4. Experience in data warehousing.

Institution Description

Come and experience our remarkable setting and adventurous community of students, faculty and staff.

• Montana State is proud to be a Land-grant institution.
• MSU is the largest research enterprise in Montana.
• Interested in seeing more of campus take our Virtual Walking Tour

Montana State University is an equal opportunity employer. MSU does not discriminate against any applicant on the basis of race, color, religion, creed, political ideas, sex, sexual orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, or any other protected class status in violation of any applicable law. In compliance with the Montana Veteran’s Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran’s preference, please complete the veteran’s preference information located in the Demographics section of your profile.

Benefits

You may download a benefits overview at https://www.montana.edu/hr/benefits-payroll/.
Application Due Date: 2025-07-07
Job Start Date: 2025-09-01
Salary: Dependent on qualifications and experience.
City: Bozeman
State/Province/Region: MT
Institution: Montana State University
Reports To: Vice President, Information Technology/Chief Information Officer
Staff # Reporting to Position: 6
Reports In Office: University Data and Analytics

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