Slate and Student Success Data Administrator

About the Opportunity

The Slate & Student Success Data Administrator serves as the primary system administrator and functional expert for the College’s Slate Student Success CRM instance, while also leading data projects that support student retention and success initiatives. This position is responsible for the configuration, maintenance, and ongoing optimization of Slate to support the needs of Student Success & Engagement and other College partners. This position will work with College partners to develop predictive retention models to support the needs of the Crest-to-Career project, and works closely with colleagues in Enrollment Management and Academic Affairs on Slate projects to align system capabilities and data initiatives with institutional goals and to ensure data-driven decision making that improves student outcomes.

The Crest to Career project is a 5-year project support by a federal Title III Strengthening Institutions Program grant. By supporting further Slate implementation and the development of data analysis tools, this position strengthens the College’s enrollment and fiscal stability through improved data access, information sharing, and data decision-making.

Key Responsibilities

Slate system administration (75%)

• Serve as the primary Slate Captain for the Slate Student Success instance, maintaining overall system configuration and ensuring platform health.

• Build and maintain forms, populations, queries, rules, dashboards, reports, and portals within Slate.

• Design and implement automated workflows, such as those to support advising outreach, case management, and student communications. Apply process improvement techniques to identify manual workflows that can be replaced with sustainable, system-driven solutions.

• Partner with Student Success, Academic Advising, Financial Aid, Residential Life, and other campus units to translate operational needs into scalable Slate configurations and data solutions.

• Design and deliver training programs for Slate users across student success units, including onboarding sessions, user guides, and workshops.

• Act as the primary point of contact for day-to-day Slate support requests from functional users, investigating issues and implementing resolutions.

• Manage user access, roles, and permissions in compliance with institutional data governance and FERPA requirements.

• Oversee lifecycle planning for platform upgrades, new modules, and long-term system evolution.

• Monitor system performance and troubleshoot technical and functional issues, implementing solutions or escalating as appropriate.

• Document all system configurations, processes, and procedural changes in an administrative manual.

• Stay current on Slate releases, new features, and community best practices, assessing their relevance and value to the institution.

• Coordinate with IT colleagues to maintain and troubleshoot integrations between Slate and Jenzabar and other enterprise systems.

• Participate in committees and related working groups as assigned to ensure consistent data standards and stewardship across systems.

• Build and maintain operational reports and dashboards that provide actionable insights to student success leadership and front-line staff.

• Champion data quality across the Slate Student Success instance, establishing and enforcing data entry standards and validation rules.

Predictive Analytics & Data Projects (25%)

• Partner with Information Technology, the Registrar’s Office, and Institutional Research to develop, test, and refine predictive models for student retention using data from Jenzabar and the Slate Student Success instance.

• Coordinate the extraction, integration, and validation of data feeds between Jenzabar and Slate to support predictive modeling.

• Translate model outputs (e.g., risk scores, retention indicators) into actionable Slate workflows, populations, and communication triggers for advisors and student success staff.

• Collaborate with stakeholders to identify new data sources and variables that could improve the accuracy and usefulness of predictive models.

• Monitor and report on the performance and impact of predictive models, recommending refinements based on outcomes data.

• Serve as a liaison between Student Success, IT, and Institutional Research on data projects related to retention, persistence, and graduation analytics.