Community Impact Data Manager

Position Overview

The Community Impact Data Manager provides leadership through the Office of Community Impact in coordinating, integrating, and communicating data that demonstrates KU’s community engagement and outreach impact. This role develops and manages multimodal and cross‑system data collection strategies; supports qualitative and quantitative analysis; and generates reports for institutional processes, including the Carnegie Community Engagement Classification. The position collaborates closely with campus and community partners to track impact metrics, promote qualitative summaries, maintain shared data systems, and support interfaces such as the Engaged KU Community Toolkit and Community Check Box.

The Data Manager also strengthens campus wide coordination by streamlining partner agreements, supporting community impact liaisons, maintaining online platforms, and providing technical assistance to enhance consistent documentation and reporting of community engagement across units and the institution. Additional responsibilities include supporting office operations and special projects for the Vice Provost and Associate Vice Provost for Community Impact to advance the goals of the office and institution.

• The Community Impact Data Manager will create and develop data collection information from academic, affiliate, and administrative units that can offer a timely record of scholarly, community‑engaged, and service support impact for KU’s campus and outreach initiatives connected to academic research and community engagement.
• Provide support in data collection, analysis, and reporting, including supporting the Carnegie Community Engagement Classification process.
• Collaborate with community and campus partners to track community impact metrics, support the development and implementation of data collection and reporting tools, including surveys.
• Provide qualitative and quantitative data translation support to systematically examine and evaluate community engagement activities facilitated across the university and with community partners.
• Collect and report the impact of the community engagement efforts with and across initiatives for OCI annual reports, annual strategic alignment meetings, institutional reporting, and interface with university communications to share data‑driven campus impact stories.
• Develop and support data for reporting for applications, reports, manuscripts, award applications, and other technical reports, publications, or presentations.

• Develop and maintain integrated approaches for pulling data across disparate systems, coordinating data collection, analysis, and reporting across multiple platforms.
• Develop and maintain community engagement data interfaces that can be utilized in the Community Toolkit and Community Check Box Evaluation System. Create and implement interface tools for campus partners to engage and contribute to the Engaged KU Toolkit to build capacity and resources to demonstrate contributions to community impact.
• Translate the interdisciplinary needs and goals of the Community Impact office to aid in developing content for the Engaged KU Toolkit and Check Box Systems to provide accountability to the campus and the community by documenting and providing community impact metrics for all initiatives in the Office of Community Impact.
• Develop and implement a multimodal community impact template to collect quantitative, qualitative, and video engaged storytelling pathways for academic and staff units to tell their impact stories. Analyze and identify trends in this data to interface in an integrated data repository and dashboard.
• Work with campus and community partners to curate the multimodal community impact story, including by coordinating the development of qualitative community content development that may take the form of videos, blogs, storytelling, interface with KU Library academic unit librarians, community members, and AIRE to track our community impact.
• Maintain and support community toolkit data, narrative interface and data collection…