Director, Geospatial & Data Analytics

Scout Clean Energy•Boulder, CO

13h•$155,000 - $175,000•Hybrid

About The Position

Scout Clean Energy is seeking a Director of Geospatial & Data Analytics to lead the company's geospatial and analytics capabilities in support of renewable energy development. The role sets strategy, establishes standards, and builds scalable capabilities to improve project decisions and advance Scout’s long-term business objectives. The Director provides strategic leadership for capabilities supporting site selection, project development, engineering, and construction across Scout's renewable energy portfolio, and expands organizational capacity 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 opportunities for geospatial intelligence, data systems, automation, and analytics to improve project outcomes, information accessibility, and competitive advantage. The position reports to Scout’s Vice President of Technical Services and may be assigned other duties to support Scout’s growth as technical experts in renewable energy. The role leads the Geospatial & Data Analytics strategy and team; oversees GIS, data systems, information management, technology integration, automation, and digital transformation; and manages budgets, technology investments, vendors, and organizational resources. It is expected to establish strategic direction for a critical business function, build capabilities that scale with company growth, influence decisions across departments and leadership levels, develop future leaders, and serve as a strategic partner to executive leadership.

Requirements

Bachelor's degree in Geographic Information Systems (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, and 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 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 a commutable distance of the Boulder, Colorado office, or willingness to relocate, is preferred.

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 efforts, and portfolio evaluations with data-driven analysis and decision-support tools.
Lead enterprise GIS, geospatial analytics, and spatial decision-support capabilities, including the vision, roadmap, and standards for geospatial intelligence.
Ensure geospatial insights support prospecting, project development, engineering, and construction.
Oversee enterprise GIS architecture, geospatial data governance, applications, and analytical frameworks supporting the project lifecycle.
Drive innovation in geospatial technologies and analytical capabilities to improve project outcomes and create competitive advantages.
Lead development and governance of enterprise data systems, information management solutions, and digital platforms that improve business-critical information quality.
Oversee systems supporting geospatial data, engineering information, technical deliverables, project records, analytics, and organizational knowledge management.
Ensure integration and interoperability across GIS, engineering, project management, document management, and business intelligence platforms.
Establish data governance, architecture, and reporting standards for 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, decision-making, and organizational capacity through workflow automation and AI-enabled solutions.
Partner with business leaders to redesign workflows and implement technologies that enhance 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 Scout's 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 balancing 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 and build organizational capabilities that scale with company growth.
Influence decisions across departments and leadership levels and drive operational excellence by aligning people, processes, systems, and technology.
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 organizational outcomes through data-driven decision-making, automation, artificial intelligence, and innovation.
Lead the evolution of the organization into a broader center of excellence that establishes shared standards, scales proven solutions, and advances 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.