Scout Clean Energy
Director, Geospatial & Data Analytics
$155K–$175K
Boulder, Colorado · Director · Full-time · Posted Oct 23, 2026
- Experience
- 8+ years of relevant technical experience and 3+ years leading technical teams or programs.
- Education
- Bachelor's degree in a listed or related technical discipline; an advanced degree is preferred.
About the job
Leads Scout Clean Energy’s geospatial, data analytics, and digital capabilities to support renewable energy development and improve project and business decisions.
What you'll do
- Set strategy and lead enterprise GIS, geospatial analytics, data systems, and information management across the project lifecycle.
- Develop automation, AI, and digital transformation initiatives with cross-functional teams to improve efficiency and decision-making.
- Build and lead the team, manage budgets and technology resources, and establish standards and metrics for organizational performance.
What they ask for
- Bachelor's degree in GIS, Geography, Engineering, Computer Science, Data Science, Information Systems, or a related technical discipline.
- 8+ years of progressively responsible experience in GIS, geospatial analytics, spatial data management, enterprise data systems, analytics, or related technical fields.
- 3+ years of experience leading technical teams or programs spanning geospatial, data analytics, automation, or related digital capabilities.
- Expertise in enterprise GIS and experience with enterprise data platforms, technology-enabled process improvement, and cross-functional strategy execution.
Nice to have
- Experience in renewable energy, electric utility, energy infrastructure, land development, environmental consulting, or a related industry.
- Advanced degree or experience implementing AI, machine learning, intelligent automation, generative AI, or large-scale analytics solutions.
Pay
$155,000 - $175,000 USD base salary
Tools
ArcGIS Enterprise, Python, SQL, APIs, Microsoft Power Platform, Microsoft Fabric, Azure AI Services, SharePoint
AI focus
Develop strategies and implement AI-enabled solutions, including preferred experience with artificial intelligence, machine learning, intelligent automation, or generative AI.
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