This position will serve primarily as liaison to multiple departments, providing guidance on GIS usage and technology projects. It is also responsible for the development of GIS standards documentation, business process analysis, and automation development. Responsible for the management of highly complex projects, especially those involving mapping, demographics, process automation, and systems integration. Determines and establishes the procedures, budget and supply expenditures, and work schedules for numerous planning, analysis, and mapping projects. May manage staff and Geographic Information Systems (GIS) consultants. The ideal candidate for the Enterprise GIS Project Manager role is a highly experienced, credentialed professional who bridges the gap between technical GIS expertise, enterprise systems management, and strategic project leadership. This individual thrives at the intersection of technology, data governance, and organizational performance—capable of managing complex, multi-departmental GIS initiatives from conception through deployment and ongoing maintenance. The ideal candidate will possess: Project Management Professional (PMP) – Demonstrates mastery in project planning, budgeting, scope control, stakeholder management, and risk mitigation. Geographic Information Systems Professional (GISP) – Validates advanced GIS knowledge, ethical standards, and commitment to ongoing professional development. Bachelor’s or Master’s degree in Geography, GIS, Computer Science, Information Systems, or a related discipline. Minimum 4 years of progressive GIS experience, including at least 2 years in project management within an enterprise GIS environment. Proven experience managing enterprise-scale GIS implementations, system integrations, and multi-departmental data coordination. Hands-on understanding of ArcGIS Enterprise, ArcGIS Online, Portal for ArcGIS, ArcGIS Pro, SQL Server or Oracle SDE databases, and system architecture design. Experience with data governance frameworks, metadata standards, and spatial data infrastructure (SDI) principles. Familiarity with API integrations, automation (Python, FME), and cloud or hybrid GIS deployments.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees