Associate Chief Data Officer
Montana State University
Position Details Position Information Announcement Number STAFF - VA - 25196 For questions regarding this position, please contact: Jason Browning
(406) 994-2870
jason.browning@montana.edu Classification Title Managing Director Working Title Associate Chief Data Officer Brief Position Overview Montana State University is entering a period of ambitious change in its use of data, and engaged in significant, positive transformation. Under the leadership of the Chief Data Officer, University Data and Analytics (UDA) works collaboratively across the University community to support and expand the strategic use of data.
The Associate Chief Data Officer for Analytics and Data Science (Associate CDO) is an important leadership position in UDA and is a strategic partner to the chief data officer. The Associate CDO will work to develop an actionable, reliable, and effective system of data analysis, business intelligence, and data communication across the institution. Position Number 4C0609 Department University Data & Analytics Division VP for Information Technology Appointment Type Administrative Contract Term Fiscal Year Semester If other, specify From date If other, specify End date FLSA Exempt Union Affiliation Exempt from Collective Bargaining FTE 1.0 Benefits Eligible Eligible Salary Salary commensurate with experience, education, and qualifications. Contract Type MUS If other, please specify Recruitment Type Open Position Details General Statement As a technical and strategic leader, the Associate CDO will work closely with the Chief Data Officer and other leadership to understand and address the analytic and data science needs of the University. They will design business intelligence, data analytics, and other technical solutions that will serve to meet these needs and to increase the ability of those across the institution to access and analyze data. In their role, the Associate CDO will collaborate closely with the UDA data governance team to ensure that governance and warehousing solutions are implemented in an effective and efficient manner, and that solutions meet the technical and strategic needs of the institution.
The Associate CDO will oversee a team of technical analysts with deep expertise in leveraging tools to retrieve, process, and analyze University data. This team will interface extensively and often with the Data Partnering and Literacy team to provide accurate, value-added, and timely data-informed solutions to constituents and decision-makers across the institution. Duties and Responsibilities Provide oversight and technical guidance for the development of reports, analytics deliverables, and business intelligence tools. Conceptualize and develop new reports and deliverables. Lead the Analytics and Data Science team, facilitate professional development, and mature the analytic capabilities of members of the staff. Identify opportunities for and work to implement automation and efficiencies of scale in the reporting functions of the office. Assess and analyze data requests to identify and execute large-scale institutional analysis and research projects, advanced statistical quantitative analysis, and recommendations to support and enhance business processes. In consultation with the Data Partnering and Literacy Team, determine data sources, help frame or refine related research questions, curate, and analyze data to facilitate data-informed responses to campus constituencies. Support data governance and data management processes, including development of policies and implementation of tools. Remain abreast of technical and industry trends to develop innovative methods for conveying information and enhancing data access and usage across the University. Oversee the institutional research and regulatory reporting calendar. Represent UDA on assigned campus committees and meetings. Serve as the acting Chief Data Officer in their absence. Required Qualifications – Experience, Education, Knowledge & Skills Master’s degree in the social sciences, data science, mathematics/statistics, higher education, or a related field. Five or more years of work experience in institutional research or analytics functions. Extensive experience with SQL and relational databases. Advanced knowledge of business intelligence tools (such as Tableau) and scripting languages (such as R or Python). Experience operating in an Ellucian Banner ERP environment. Demonstrated quantitative reasoning skills. Advanced knowledge of research design. Advanced knowledge of statistical analysis methods. Preferred Qualifications – Experience, Education, Knowledge & Skills Terminal degree (Ph.D. preferred) in social sciences, data science, mathematics/statistics, higher education, or a related field. Progressively responsible experience working in a higher education setting, with a demonstrated understanding of how an institution of higher learning operates. Progressively responsible project management experience. Knowledge of data warehousing platforms and practices. The Successful Candidate Will Ability to work both independently and in a team environment. Ability to collaborate effectively with all levels of the organization, from front-line staff to senior leadership. Ability to mentor and coach less experienced technical resources. Ability to apply a systems thinking orientation, identifying process inefficiencies and areas for improvement. Ability to professionally represent UDA/UIT and MSU. Position Special Requirements/Additional Information This position is not eligible for sponsorship.
This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts Montana State University’s rights to assign or reassign duties and responsibilities to this job at any time. Physical Demands To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required. This position has supervisory duties? Yes Posting Detail Information Number of Vacancies 1 Desired Start Date Upon completion of a successful search. Position End Date (if temporary) Open Date Close Date Applications will be: Screening of applications will begin on December 11, 2024; however, applications will continue to be accepted until an adequate applicant pool has been established. Special Instructions This position is not eligible for sponsorship. EEO Statement 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. Applicant Documents Required Documents Resume Cover Letter Optional Documents Supplemental Questions
(406) 994-2870
jason.browning@montana.edu Classification Title Managing Director Working Title Associate Chief Data Officer Brief Position Overview Montana State University is entering a period of ambitious change in its use of data, and engaged in significant, positive transformation. Under the leadership of the Chief Data Officer, University Data and Analytics (UDA) works collaboratively across the University community to support and expand the strategic use of data.
The Associate Chief Data Officer for Analytics and Data Science (Associate CDO) is an important leadership position in UDA and is a strategic partner to the chief data officer. The Associate CDO will work to develop an actionable, reliable, and effective system of data analysis, business intelligence, and data communication across the institution. Position Number 4C0609 Department University Data & Analytics Division VP for Information Technology Appointment Type Administrative Contract Term Fiscal Year Semester If other, specify From date If other, specify End date FLSA Exempt Union Affiliation Exempt from Collective Bargaining FTE 1.0 Benefits Eligible Eligible Salary Salary commensurate with experience, education, and qualifications. Contract Type MUS If other, please specify Recruitment Type Open Position Details General Statement As a technical and strategic leader, the Associate CDO will work closely with the Chief Data Officer and other leadership to understand and address the analytic and data science needs of the University. They will design business intelligence, data analytics, and other technical solutions that will serve to meet these needs and to increase the ability of those across the institution to access and analyze data. In their role, the Associate CDO will collaborate closely with the UDA data governance team to ensure that governance and warehousing solutions are implemented in an effective and efficient manner, and that solutions meet the technical and strategic needs of the institution.
The Associate CDO will oversee a team of technical analysts with deep expertise in leveraging tools to retrieve, process, and analyze University data. This team will interface extensively and often with the Data Partnering and Literacy team to provide accurate, value-added, and timely data-informed solutions to constituents and decision-makers across the institution. Duties and Responsibilities Provide oversight and technical guidance for the development of reports, analytics deliverables, and business intelligence tools. Conceptualize and develop new reports and deliverables. Lead the Analytics and Data Science team, facilitate professional development, and mature the analytic capabilities of members of the staff. Identify opportunities for and work to implement automation and efficiencies of scale in the reporting functions of the office. Assess and analyze data requests to identify and execute large-scale institutional analysis and research projects, advanced statistical quantitative analysis, and recommendations to support and enhance business processes. In consultation with the Data Partnering and Literacy Team, determine data sources, help frame or refine related research questions, curate, and analyze data to facilitate data-informed responses to campus constituencies. Support data governance and data management processes, including development of policies and implementation of tools. Remain abreast of technical and industry trends to develop innovative methods for conveying information and enhancing data access and usage across the University. Oversee the institutional research and regulatory reporting calendar. Represent UDA on assigned campus committees and meetings. Serve as the acting Chief Data Officer in their absence. Required Qualifications – Experience, Education, Knowledge & Skills Master’s degree in the social sciences, data science, mathematics/statistics, higher education, or a related field. Five or more years of work experience in institutional research or analytics functions. Extensive experience with SQL and relational databases. Advanced knowledge of business intelligence tools (such as Tableau) and scripting languages (such as R or Python). Experience operating in an Ellucian Banner ERP environment. Demonstrated quantitative reasoning skills. Advanced knowledge of research design. Advanced knowledge of statistical analysis methods. Preferred Qualifications – Experience, Education, Knowledge & Skills Terminal degree (Ph.D. preferred) in social sciences, data science, mathematics/statistics, higher education, or a related field. Progressively responsible experience working in a higher education setting, with a demonstrated understanding of how an institution of higher learning operates. Progressively responsible project management experience. Knowledge of data warehousing platforms and practices. The Successful Candidate Will Ability to work both independently and in a team environment. Ability to collaborate effectively with all levels of the organization, from front-line staff to senior leadership. Ability to mentor and coach less experienced technical resources. Ability to apply a systems thinking orientation, identifying process inefficiencies and areas for improvement. Ability to professionally represent UDA/UIT and MSU. Position Special Requirements/Additional Information This position is not eligible for sponsorship.
This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts Montana State University’s rights to assign or reassign duties and responsibilities to this job at any time. Physical Demands To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required. This position has supervisory duties? Yes Posting Detail Information Number of Vacancies 1 Desired Start Date Upon completion of a successful search. Position End Date (if temporary) Open Date Close Date Applications will be: Screening of applications will begin on December 11, 2024; however, applications will continue to be accepted until an adequate applicant pool has been established. Special Instructions This position is not eligible for sponsorship. EEO Statement 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. Applicant Documents Required Documents Resume Cover Letter Optional Documents Supplemental Questions
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