Director, Geospatial & Data Analytics

Scout Clean Energy•Boulder, CO

2d•Hybrid

About The Position

Scout Clean Energy is seeking a Director of Geospatial & Data Analytics to lead and expand the company’s geospatial and analytics capabilities in support of renewable energy development. The role sets strategy, standards, and scalable capabilities to improve project decisions and advance Scout’s long-term business objectives. It provides strategic leadership for site selection, project development, engineering, and construction across Scout’s renewable energy portfolio, including through enterprise data systems, workflow automation, advanced analytics, and AI-enabled solutions. The Director partners with leaders across Development, Engineering, Resource Assessment, Environmental, Real Estate, Interconnection, Preconstruction, and Information Technology to identify how geospatial intelligence, data systems, automation, and analytics can improve project outcomes, accessibility of information, and competitive advantage. The role reports to the Vice President of Technical Services and may be assigned other duties to support Scout’s growth as technical experts in renewable energy. The Director defines and executes the Geospatial & Data Analytics strategy; leads enterprise GIS, data systems, information management, automation, AI, and digital transformation; and builds a high-performing organization that can scale with company growth. The role manages budgets, technology investments, software platforms, data subscriptions, consultants, and vendor relationships. It is expected to establish a broader center of excellence that advances shared standards and scalable solutions across Scout, and to serve as a strategic partner to executive leadership on how geospatial capabilities, data, and technology can accelerate long-term growth. The preferred location is within commuting distance of Scout’s Boulder, Colorado office, with a hybrid schedule of three days in the office and two remote. Remote work with monthly travel to the office will be considered for the right candidate. The role is expected to close by January 30, 2027.

Requirements

Bachelor’s degree in GIS, Geography, Engineering, Computer Science, Data Science, Information Systems, or a related technical discipline.
At least 8 years of progressively responsible experience in GIS, geospatial analytics, spatial data management, enterprise data systems, analytics, or related technical fields.
At least 3 years of experience leading technical teams or programs spanning geospatial, data analytics, automation, or related digital capabilities.
Demonstrated expertise in enterprise GIS platforms, geospatial analysis, spatial decision-support systems, and geospatial data management.
Demonstrated success developing and executing cross-functional strategies that align technical capabilities with business priorities and deliver measurable organizational outcomes.
Experience developing or managing enterprise data platforms and databases, including ArcGIS Enterprise.
Experience leading technology-enabled process improvement, automation, or digital transformation initiatives.
Strong understanding of enterprise architecture, data governance, system integration, data lifecycle management, and information management practices.
Experience integrating multiple business platforms and developing scalable data architectures.
Experience with Python, SQL, APIs, workflow automation platforms, and modern analytics technologies, with the ability to evaluate technical approaches and guide implementation teams.
Proven ability to influence senior leadership and lead complex cross-functional initiatives.
Excellent written, verbal, presentation, and stakeholder-management skills.
Strong business acumen and the ability to translate technical capabilities into strategic value.

Nice To Haves

Experience supporting renewable energy, electric utility, energy infrastructure, land development, environmental consulting, or a related industry involving complex location-based development decisions.
Advanced degree in GIS, Geography, Engineering, Data Science, Information Systems, Business Administration, or a related field.
Experience implementing enterprise data governance programs, digital transformation initiatives, or large-scale analytics solutions.
Experience implementing artificial intelligence, machine learning, intelligent automation, or generative AI solutions in engineering, infrastructure, or development environments.
Experience with Microsoft Power Platform, Microsoft Fabric, Azure AI Services, SharePoint, Salesforce, or similar enterprise technology ecosystems.
Familiarity with advanced analytics, predictive modeling, machine learning, and business intelligence techniques.
Professional certifications such as GISP, PMP, Azure, AWS, or equivalent credentials.
Located within commuting distance of the Boulder, Colorado office or willing to relocate there is preferred; remote work with monthly office travel may be considered.

Responsibilities

Provide strategic leadership for geospatial and analytical support of Scout’s wind, solar, and storage development activities.
Guide site selection, prospecting, and development risk assessment processes.
Support major investment decisions, acquisitions, due diligence, and portfolio evaluations through data-driven analysis and decision-support tools.
Lead enterprise GIS, geospatial analytics, and spatial decision-support capabilities, including their vision, roadmap, and organizational standards.
Ensure geospatial insights support prospecting, project development, engineering, and construction.
Oversee enterprise GIS architecture, geospatial data governance, applications, and analytical frameworks across the project lifecycle.
Advance geospatial technologies and analytics to create competitive advantages and improve project outcomes.
Lead development and governance of enterprise data systems, information-management solutions, and digital platforms for business-critical information.
Oversee systems for geospatial data, engineering information, technical deliverables, project records, analytics, and organizational knowledge management.
Ensure interoperability between GIS, engineering, project management, document management, and business intelligence platforms.
Establish data governance, architecture, and reporting standards that support organizational growth and decision-making.
Develop and execute strategies for automation, artificial intelligence, and digital transformation across development, engineering, preconstruction, and operational functions.
Identify and prioritize opportunities to improve efficiency, decisions, and organizational capacity through workflow automation and AI-enabled solutions.
Partner with business leaders to redesign workflows and implement technologies that improve quality, consistency, and productivity.
Establish governance, adoption, and performance-measurement frameworks for emerging technologies and digital initiatives.
Define and execute the Geospatial & Data Analytics strategy, aligning team priorities, investments, and capabilities with business objectives.
Build, lead, and develop a high-performing team and foster innovation, accountability, collaboration, and continuous improvement.
Scale organizational capabilities through process improvement, automation, technology adoption, and strategic resource planning.
Establish performance metrics and communicate the business value and impact of the organization’s work.
Manage budgets, technology investments, software platforms, data subscriptions, consultants, and strategic vendor relationships.
Develop resource and sourcing strategies that balance internal capabilities, external expertise, and technology solutions.
Ensure efficient service delivery, resource allocation, and continuous improvement of organizational processes and systems.
Establish vision and strategic direction for a critical business function, build capabilities that scale with company growth, and influence decisions across departments and leadership levels.
Drive operational excellence by aligning people, processes, systems, and technology to provide reliable, scalable services.
Develop future leaders and foster a culture of continuous improvement.
Maintain and advance Scout’s position in renewable energy geospatial intelligence and GIS capabilities.
Translate emerging technologies and industry trends into practical business value and deliver measurable outcomes through data-driven decisions, automation, AI, and innovation.
Lead the evolution of the organization into a broader center of excellence that establishes shared standards and scales geospatial intelligence, data systems, analytics, automation, and digital solutions across Scout.
Serve as a strategic partner to executive leadership in defining how geospatial capabilities, data, and technology can accelerate Scout’s long-term growth strategy.