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Intelligence Anst Prin

BAE Systems · baesystems.com
FayettevilleOn-siteSenior
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The job in short

Senior GIS and AI integration analyst leading geospatial analytics, automation and ML solutions.

PythonMachine learningGenerative AINLPComputer visionCybersecurity

Details

Found
19 d ago · posted 2026-10-16
Location
Fayetteville, North Carolina

Full description

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. Key Responsibilities: • 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.

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