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for the configuration and support of multiple student success and CRM applications, business process needs analysis, and data reporting and analysis. This position will interface with Student Success, Advising, and IT
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, routing table configurations, and certain implementations of authentication. Basic Active Directory experience. Ability and willingness to handle multiple projects concurrently. Organizational skills
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, regionally and nationally through data-driven and authentic storytelling across multiple channels with focused support on the university's value drivers: academics and research; enrollment and admissions
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to seek applicants for both teaching and non-teaching functions for adjunct and faculty overload. *This posting will serve for multiple openings Essential Functions Teaching adjunct faculty are required
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situations Creative, innovative, and able to work independently and in a team with a high level of professionalism Ability to effectively work with multiple databases and student platforms (e.g., Salesforce
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departments, programs, centers and institutes, as well as the Dean’s Suite, CAHSS Enrollment, and University Advancement to develop innovative and effective marketing materials across multiple mediums and
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or more years of network operations and support experience Preferred Qualifications Requires exposure to multiple, diverse networking technologies Current and thorough knowledge of Cisco, Juniper, and Aruba
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to seek applicants for teaching for both adjunct and faculty overload. This posting will serve for multiple openings. Essential Functions Teaching adjunct faculty are required to teach as determined by
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-level Certifications in Voice, Routing & Switching preferred. Requires exposure to multiple, diverse networking technologies Experience supporting converged infrastructure Working Environment The work
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federal/state regulations. Experience working with electronic research administration systems and government systems. Preferred Qualifications Master’s Degree Experience working with multiple external