Responsibilities | - Lead end-to-end delivery of enterprise GIS, GeoAI, geospatial analytics, and infrastructure modernization initiatives, ensuring projects are delivered on time, within scope, and within budget.
- Develop and manage project plans, schedules, budgets, resource allocations, risks, dependencies, and governance processes across multiple workstreams.
- Coordinate cross-functional teams including GIS analysts, data engineers, cloud engineers, AI/ML teams, architects, application teams, vendors, and business stakeholders.
- Drive Agile and hybrid project delivery methodologies, including sprint planning, backlog prioritization, release planning, status tracking, and stakeholder communication.
- Partner with business and operational teams to define project objectives, success criteria, requirements, and implementation roadmaps for geospatial solutions.
- Support initiatives involving Enterprise GIS platforms, cloud-based geospatial services, GeoAI capabilities, spatial analytics, and real-time data integration programs.
- Manage dependencies and integrations between GIS platforms, enterprise applications, data warehouses, cloud environments, APIs, and operational systems.
- Facilitate project governance activities including steering committee meetings, executive reporting, RAID management, milestone tracking, and issue resolution.
- Coordinate deployment planning, testing activities, user adoption, training, and operational readiness for geospatial technology implementations.
- Ensure compliance with enterprise architecture standards, data governance policies, cybersecurity requirements, and operational procedures.
- Track project KPIs, delivery metrics, financial performance, and business outcomes while providing executive-ready dashboards and status reports.
- Drive continuous improvement initiatives focused on automation, data-driven decision making, geospatial innovation, operational efficiency, and infrastructure intelligence.
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