Geospatial, Technology, and Data Lead - Associate Director, Mapping Prejudice Program

Description

Mapping Prejudice is seeking a new associate director to join its highly-collaborative, trans-disciplinary team. Our new colleague will be committed to community-powered research around structural racism and will lead the project’s geospatial research and manage its datasets. This person will curate the datasets for Mapping Prejudice, integrating data on racial covenants with archival research and geospatial data on other indicators of well-being. This researcher will lead new data collection efforts and will collaborate with other members of the Mapping Prejudice team as well as its scholarly and community partners. Mapping Prejudice has been recognized by public historians, GIS professionals and policymakers for its efforts to reshape popular understandings of structural racism. The team has worked with researchers from many different fields to document the legacies of these practices for the built environment and the people who inhabit them. We are looking for someone who understands the importance of inviting community members to shape research and who wants to work creatively with the team to engage a wide range of scholarly and community partners. 

Selected Position Responsibilities 

• Oversee and manage spatial data infrastructure, OCR and deed processing, and crowd-sourced data collection.

• Coordinate and deliver presentations to build community relationships, mobilize volunteers, and share goals and findings of the project.

• Research planning and implementation.

• Oversee and coordinate research data collection activities.

• Coordinate project work across disparate geographies.

Qualifications: BA/BS in GIS, Geography, Urban Planning, Public Policy, History, or a related field with at least 6 years of experience or advanced degree with 4 years of experience; demonstrated experience with GIS; experience managing and maintaining geospatial data sets; experience designing and managing geospatial data workflows; demonstrated programming experience, preferably with Python; demonstrated knowledge of and commitment to the benefits of diversity and inclusion throughout an organization; and experience working both independently and in cooperation with colleagues in a service-oriented, collaborative environment.