The Senior Integration Analyst is responsible for leading the integration of Geographic Information Systems (GIS), artificial intelligence (AI), machine learning, and advanced analytics to support data-driven decision-making across the organization. This role combines deep geospatial expertise with emerging AI technologies to develop intelligent mapping, spatial analytics, automation, predictive models, and decision-support solutions.
The Senior GIS & AI Integration Analyst serves as a technical subject matter expert, working with business leaders, technical teams, data scientists, and end users to identify opportunities where GIS and AI can improve operational efficiency, automate workflows, enhance data quality, and generate actionable insights.
Lead the design, development, implementation, and maintenance of enterprise GIS and AI-enabled solutions.
Integrate GIS with AI, machine learning, predictive analytics, automation, and emerging technologies.
Develop advanced spatial analyses, models, dashboards, applications, and decision-support tools.
Automate GIS workflows using Python, APIs, scripting, and geoprocessing tools.
Manage and analyze large, complex spatial and non-spatial datasets and develop data pipelines across GIS, databases, cloud platforms, and AI services.
Apply AI/ML, computer vision, NLP, generative AI, and predictive modeling to geospatial data and business processes.
Establish GIS data, quality assurance, AI governance, and documentation standards.
Evaluate emerging technologies and recommend secure, scalable, cost-effective solutions.
Collaborate with IT, cybersecurity, data governance, and business teams to ensure enterprise requirements are met.
Provide technical leadership, mentoring, troubleshooting, project support, and clear communication to technical and non-technical stakeholders.
Bachelor’s degree in GIS, Geography, Computer Science, Data Science, Engineering, IT, or related field.
7+ years of professional GIS/geospatial experience, including enterprise solutions.
Advanced experience with Esri ArcGIS Pro, Enterprise, Online, Spatial Analyst, and related technologies.
Strong Python skills for GIS automation, data processing, analytics, and integration.
Experience with spatial/relational databases, APIs, ETL processes, and large datasets.
Understanding of AI and machine-learning concepts and their practical application.
Strong analytical, problem-solving, communication, and technical documentation skills.
Master’s degree in GIS, AI, Data Science, Computer Science, or related field.
Experience with generative AI, LLMs, AI-assisted GIS, and machine-learning frameworks.
Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Knowledge of computer vision, remote sensing, imagery analysis, or automated feature extraction.
Experience with Power BI or other visualization/BI platforms.
Knowledge of responsible AI, data security, privacy, model validation, and human oversight.
Experience in enterprise, government, defense, utilities, engineering, or other data-intensive environments.
Relevant GIS, Esri, cloud, or AI certifications.
· Core Competencies
Advanced Geospatial Analysis
GIS Architecture & Integration
Artificial Intelligence & Machine Learning
Generative AI / LLM Integration
Python Development & Automation
Data Engineering & API Integration
AI Governance & Data Quality
Technical Leadership
Requirements Analysis
Project Management
Stakeholder Communication
Technical Documentation