GIS Architect

Key Responsibilities: • Lead the design, implementation, and governance of ArcGIS-based geospatial solutions for mapping healthcare clients and provider locations, ensuring data quality, security, and compliance with state and federal policies and procedures. • Develop and maintain geospatial data architectures, workflows, and metadata standards to support enterprise mapping and analytics needs. • Coordinate and collaborate with internal teams, external partners, and stakeholders to gather requirements, define governance frameworks, and ensure effective data sharing and integration. • Oversee the creation and management of GIS datasets, including demographic, socioeconomic, health, and program data, ensuring accuracy and completeness. • Mentor and guide GIS analysts and developers, providing best practices for spatial analysis, web mapping, and data visualization using ArcGIS tools. • As the single point of contact for the IT organization, collaborate and coordinate with GIS data analysts and data scientists to: Establish and enforce geospatial data management policies, documentation standards, and quality assurance processes. Conduct Advise and oversee advanced spatial analyses to inform public health initiatives and track compliance to contract requirements. Prepare and present technical reports, dashboards, and interactive web maps for executive leadership and external stakeholders. Required Qualifications: • Bachelor’s or master’s degree in Geography, GIS, Computer Science, Public Health, or related field. • 7+ years of professional experience in GIS, with at least 3 years in a lead or architect role in cloud architectures, preferably in health, human services, or government sectors. • Expert-level proficiency in Esri ArcGIS (including ArcGIS Pro Advanced database management and network analyst toolboxes), including data management, geocoding, spatial analysis, and web mapping application development. • 5+ years of experience working with SQL Server Enterprise Geodatabases leveraging ArcGIS tools for management of geospatial data. • 5+ years of experience with Python and SQL, including writing functions and procedures. • 2+ years of experience working in an agile/scrum development lifecycle environment. • Demonstrated experience in geospatial governance, including policy development, stakeholder engagement, and decision-making frameworks. • Strong knowledge of data management principles, metadata standards, and data quality assurance. • Excellent communication, technical writing, and stakeholder management skills. • Ability to manage multiple projects, prioritize tasks, and work independently.