Vice Provost for Decision Science & Visualization
The Vice Provost for Decision Science & Visualization (VPDSV) serves as the primary lead in producing official data reported from administrative systems across the University, conducts research and analysis for institutional decision makers, leverages an understanding of advanced analytical methods to improve understanding of institutional and program performance, builds data collections, facilitates access to institutional data, advocates for data quality and integrity, and fosters student success and optimize UMES’s effectiveness by facilitating research-informed decision making. The VPDSV is expected to support the development of dashboards, data visualizations, and automated reports in order to create a stronger self-service functionality for our clients. The incumbent will also need a strong consultative skillset, able to develop productive professional relationships with other campus units, seeking to understand their current set of processes and needs, and use this knowledge to proactively identify opportunities for collaboration, automation, advanced analytics, and project development. Responsible for applying quantitative techniques and analytical approaches to draw conclusions and make ‘insight to action’ recommendations to answer business objectives and drive change, while situating them in appropriate institutional contexts. The essence of work performed by the Vice Provost for Decision Science & Visualization involves gathering, analyzing and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Reporting directly to the Provost and Vice President for Academic Affairs and working in close collaboration with the Vice Provost for Institutional Academic Planning & Quality, the successful candidate will be expected to produce high quality and varied research outputs for a range of audiences including analysis, report writing and presentations where necessary. The Office of Institutional Research will report directly to the Vice Provost for Decision Science & Visualization.
- Leverages business/analytical knowledge to participate in discussions with cross functional teams to understand and collaborate on institutional objectives and influence solution strategies.
- Applies quantitative and qualitative analytical approaches to draw conclusions and make ‘insight to action’ recommendations to answer the objective and drive the appropriate change.
- Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.
- Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
- Lead designer on the creation of data visualizations (both static and interactive).
- Prototypes, develops, tests & executes data analytics and data visualization tools, including exploring how we can make greater use of large volumes of unstructured data.
- Identifies and gathers the relevant data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis. Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
- Takes responsibility for data and project management and administration as it relates to delivering work.
- Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews. Subsequent analysts should be able to rely on documentation to replicate and continue work.
- Understands and adopts emerging technologies that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
- Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives institutional decisions, and influences strategy.
- Ability to work with various databases both with the University and IT engagements.
- Performs other related duties as assigned.
- Ability to think strategically, anticipate the needs of various departments, and provide research and analytics to support those needs.
- Skills to communicate information clearly, orally and in writing, to a wide variety of constituents individually and in groups.
- A passion for analyzing large data sets and continually seeking better ways of doing things as it relates to automation and coding practices.
- Strong understanding of research methods, predictive analytics and Big Data.
- Advanced knowledge of data visualization (preferably via Tableau) to design, enhance, and develop aesthetically pleasing visualizations, including but not limited to, interactive dashboards, scorecards and reports.
- Proficiency extracting, analyzing and reporting data from business intelligence systems, and from external data sources at the state or national levels, in response to standard and ad hoc institutional research requests.
- Demonstrated experience using statistical and visualization software (Tableau, R, NVIVO) for data mining, visualization and analysis purposes.
- Master’s degree in educational research, measurement, statistics, mathematics, engineering, economics, computational sciences or a related field.
- Five years’ experience as a data scientist or in a related field, or an equivalent combination of education and experience.
- Experience in evaluating and making decisions around the use of new or existing tools for a project.
- Experience in projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams. Three to five successfully launched projects would be ideal.
- Experience in an institution of higher education or educational system
- Working closely with others as part of a team and with stakeholders and local partners to manage relationships and deliver work.
Resumes will be accepted until the position is filled. Qualified applicants should submit a letter of interest, curriculum vitae, and the names of three current, professional references to include e-mail address and telephone number. All applicants must apply using the new online application system. Please visit http://umes.peopleadmin.com to apply. The successful candidate must be able to accept employment in the United States without Employer Immigration sponsorship.
UMES is an EEO/AA employer and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, religion, national origin, marital status, genetic information, or political affiliation. Minorities, women, veterans, and persons with disabilities are encouraged to apply. The successful candidate must be able to show acceptable documentation establishing the right to accept employment in the United States of America without employer sponsorship.