Temporary Nonexempt

Job duties and responsibilities

* GIS Hub Administration and Data Integration (100%)

Administer and maintain an ArcGIS Online / Esri Hub site that serves as a shared data environment for partner organizations of natural resource planners.

Coordinate directly with partner organizations to receive datasets, lead data sharing meetings, review submitted data, ask follow-up questions, and integrate data into the hub site.

Generate and maintain standards-compliant geospatial metadata for all hosted datasets.

Perform QA/QC on incoming datasets and produce human-readable QA/QC reports for each dataset, including ratings and recommended improvements.

Develop, evaluate, and maintain AI-assisted QA/QC generation pipelines, including benchmark systems for evaluating generated QA/QC tools against accuracy, completeness, and consistency criteria.

Host member data securely on the hub site, applying data security and access control practices appropriate to multi-organization data sharing.

Build and maintain interactive web maps and ArcGIS Experience Builder applications integrated with the hub site.

Develop decision support tools and land prioritization tools

Implement and maintain Google Cloud integrations supporting hub site functionality and data warehouse / web map connectivity.

Support the production of professional outputs such as technical documentation, standard operating procedures, tutorials, online content, and presentations

Required

* M.S. or higher in Geographic Information Science, Geography, Natural Resources, Environmental Science, Computer Science, or a closely related field.

* 2+ years of demonstrated experience administering ArcGIS Online and the Esri ecosystem (ArcGIS Pro, ArcGIS Hub, Experience Builder, Web AppBuilder, or equivalent).

* 2+ years of experience building and publishing interactive web maps and applications using ArcGIS Hub and Experience Builder.

* 2+ years of experience generating and maintaining geospatial metadata.

* Demonstrated experience designing and executing QA/QC workflows for geospatial datasets, including production of human-readable QA/QC reports.

* Demonstrated experience scripting in Python for geospatial workflows (ArcPy, the ArcGIS API for Python, or comparable).

* Demonstrated experience using AI to generate or augment QA/QC or other data processing pipelines, including the ability to evaluate generated systems against benchmark criteria.

* Demonstrated experience with Google Cloud Platform services in support of geospatial or web mapping workflows.

* Demonstrated experience implementing data security and access control practices for multi-organization data sharing environments.

* Demonstrated experience coordinating directly with external partner organizations, including leading data sharing meetings and managing data submission workflows.

* Excellent written and verbal communication skills.

Preferred

* Experience developing land suitability or land prioritization models in an Esri environment.

* Experience with data warehouse to web map integration patterns.

* Experience working with natural resource planning organizations or other multi-stakeholder consortia.

* Experience preparing technical documentation, standard operating procedures, or peer-reviewed publications.

The Runck Lab focuses on the science and engineering of real-time geoinformation systems ranging from data collection (hardware, firmware) through to data storage, modeling, and visualization. On-going work focuses on the application of novel spatial machine learning and artificial intelligence models in real-time to support decision-making, the development of novel sensing modalities, and the effects of geovisualization systems on cross-organization decision-making and action.

Funding for the lab comes from diverse sources including recurring funding through the GEMS Informatics Center from the MnDRIVE program, federal grants, state grants, foundations, and private companies. The lab fluctuates between 8 and 12 members with two full-time research staff supporting lab operations and GEMS Sensing, a service organization focused on research support for environmental data collection. Due to the applied and cross-sector nature of R&D, the lab provides an opportunity to broadly engage in large, multidisciplinary, and high impact R&D.

The GEMS Informatics Center is a joint initiative of the College of Food, Agriculture and Natural Resource Sciences and the Minnesota Supercomputing Institute and is a highly diverse international and interdisciplinary team of professionals. The Center is re-imagining the relationships between data, institutions, and disciplines to inform and accelerate innovation within the food and agricultural sectors. GEMS broadly seeks to make genomics, environmental, management, and socioeconomic data inter-operable at varying spatial and temporal scales to generate actionable information and promote new innovation partnerships that accelerates and sustains growth in local and global food and agricultural systems.

Pay Range: $28 per hour; depending on education/qualifications/experience.

Retirement plan options are available for Civil Service, Faculty, Labor-Represented, Professional & Administrative, and Temp Casual classifications. Learn more about retirement plans.

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

>>Resume required for application<<

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).