Sr Integration Analyst: Ft Bragg

BAE Systems•Fayetteville, NC
•$96,623 - $164,259

About The Position

The Senior Integration Analyst leads the integration of Geographic Information Systems (GIS), artificial intelligence (AI), machine learning, and advanced analytics to support data-driven decision-making across the organization. The role applies geospatial expertise and emerging AI technologies to develop intelligent mapping, spatial analytics, automation, predictive models, and decision-support solutions. As a technical subject matter expert, the analyst works with business leaders, technical teams, data scientists, and end users to identify opportunities for improving operational efficiency, automating workflows, enhancing data quality, and generating actionable insights.

Requirements

  • Bachelor’s degree in GIS, Geography, Computer Science, Data Science, Engineering, IT, or a 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.

Nice To Haves

  • Master’s degree in GIS, AI, Data Science, Computer Science, or a 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.

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.

Benefits

  • Health, dental, and vision insurance
  • Health savings accounts
  • 401(k) savings plan
  • Disability coverage
  • Life and accident insurance
  • Employee assistance program
  • Legal plan
  • Discounts on home, auto, and pet insurance
  • Paid time off
  • Paid holidays
  • Paid parental, military, and bereavement leave
  • Applicable federal and state sick leave
  • Company recognition program with monetary or non-monetary awards
  • Other incentives may be available based on position level and/or job specifics
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