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 following: 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.
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.
- 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.
Through the University of Maryland Extension Service and the Agriculture Experiment Station, UMES works collaboratively with the University of Maryland College Park, the 1862 land-grant institution. The University's expanding instructional technology infrastructure supports the increasing externally funded research grants generated by campus personnel.