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. This role will set strategy, establish standards, and build scalable capabilities that improve project decisions and advance Scout's long term business objectives.
The Director will provide strategic leadership for the geospatial and analytical capabilities that support site selection, project development, engineering, and construction across Scout's renewable energy portfolio. This position will lead the expansion of the organization's capabilities through enterprise data systems workflow automation, advanced analytics, and AI-enabled solutions that improve efficiency, enhance decision-making, and support continued organizational growth.
The Director will partner closely with leaders across Development, Engineering, Resource Assessment, Environmental, Real Estate, Interconnection, Preconstruction, and Information Technology to identify opportunities where geospatial intelligence, data systems, automation, and analytics can improve project outcomes, enhance information accessibility, and create competitive advantages. This position will report 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.
Primary Responsibilities Renewable Energy Development
- 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 through data-driven analysis and decision-support tools.
Geospatial Intelligence & Business Enablement
- Lead Scout's enterprise GIS, geospatial analytics, and spatial decision-support capabilities, advancing the vision, roadmap, and standards for geospatial intelligence across the organization.
- Ensure geospatial insights effectively support prospecting, project development, engineering, and construction.
- Oversee enterprise GIS architecture, geospatial data governance, applications, and analytical frameworks that support the full project lifecycle.
- Drive innovation in geospatial technologies and analytical capabilities that create competitive advantages and improve project outcomes.
Data Systems & Information Management
- Lead the development and governance of enterprise data systems, information management solutions, and digital platforms that improve the quality of business-critical information.
- Oversee systems supporting geospatial data, engineering information, technical deliverables, project records, analytics, and organizational knowledge management.
- Ensure effective integration and interoperability between GIS, engineering, project management, document management, and business intelligence platforms.
- Establish data governance, architecture, and reporting standards that support long-term organizational growth and decision-making.
Automation, AI & Digital Transformation
- 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.
Strategy, Organizational Leadership & Growth
- 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 while fostering a culture of 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.
Resource & Technology Management
- 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 delivery of services, allocation of resources, and continuous improvement of organizational processes and systems.
Leadership Expectations As a Director at Scout Clean Energy, this role is expected to:
- Establish vision and strategic direction for a critical business function.
- Build organizational capabilities that scale with company growth.
- Influence decisions across departments and leadership levels.
- Drive operational excellence by aligning people, processes, systems, and technology to deliver reliable, scalable services across the organization.
- Develop future leaders and foster a culture of continuous improvement.
- Maintain and advance Scout's position as a leader in renewable energy geospatial intelligence and GIS capabilities.
- Translate emerging technologies and industry trends into practical business value.
- Deliver measurable organizational outcomes through data-driven decision-making, automation, artificial intelligence, and innovation.
- Lead the evolution of the Geospatial & Data Analytics 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.
RequirementsRequired
- Bachelor's degree in Geographic Information Systems (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.
- 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 deliver 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 with the ability to translate technical capabilities into strategic value.
Preferred
- Experience supporting renewable energy, electric utility, energy infrastructure, land development, environmental consulting, or related industry involving complex, location-based development decisions.
- Advanced degree in GIS, Geography, Engineering, Data Science, Information Systems, Business Administration, or 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.
Timeline and Location Located in or willingness to relocate to a commutable distance to our Boulder, CO office to work on a hybrid (3/2) schedule is preferred. Remote work (with monthly travel to the office) will be considered for the right candidate.
This role is expected to close by January 30, 2027.
BenefitsTarget base salary: $155,000 - $175,000 (Negotiable for the right candidate.)
Attractive bonus potential.
Scout offers a full range of benefits, including medical/dental/vision insurance with attractive premiums, 401(k) match, STD, LTD, an Employee Assistance Program, and a range of optional supplemental insurance coverage.
