About Radian Generation
Radian Generation is a global provider of critical technology-forward services designed specifically to support the comprehensive lifecycle of renewable facilities—including solar, wind, and energy storage.
Who We Serve
Radian Generation’s wide range of commercial, technical, and compliance services provide developers, owners, and operators with critical insights into each aspect of their assets to make better-informed decisions.Radian Generation is committed to supporting greater diversity in the renewable energy industry. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
JOB SUMMARY
We are seeking a strategic leader to drive AI adoption across the company whileestablishingrobust data governance frameworks. This role willbe responsible forrefining and executing our AI roadmap, ensuring responsible AI implementation, and creating enterprise-wide data governance standards that enable innovation whilemaintainingsecurity, compliance, and ethical use of data and AI technologies.
Role and Responsibilities
- AI Strategy, Roadmap Development & Implementation
- Leadand continue to refinea clear and realistic AI roadmap that supports company goals.
- Translate enterprise challenges and goals into actionable AI initiatives that improve productivity and margins.
- Partner withSoftware, Product, andIT to ensure AI tools align with existing infrastructure and architecture
- Maintain a clear focus on measurable outcomes and scalability.
- Identify, prioritize, and champion AI use cases across departments
- Lead cross-functional AI implementation projects from proof-of-concept through production deployment
- Build internal AI literacy through training programs, workshops, and change management initiatives
- Establish AI performance metrics and ROI tracking frameworks
- Evaluate where external consultants, vendors, or AI platforms are best positioned to solve complex pain points
- Manage AI vendor relationships, RFPs, and integration planning when outsourcing is appropriate
- Stay current on AI trends, tools, and best practices relevant to renewable energy and asset management
- Maintain strict adherence to data security, privacy, and regulatory standards
- Ensure all AI solutions are secure, compliant, and integrated responsibly within tech ecosystem
Data Governance & Management
- Collaborate with Product, Software, and Data teams to align data governance and AI integration with evolving platform architecture.
- Establish data quality standards, master data management practices, and data lineage documentation
- Create and enforce data access controls, privacy policies, and security protocols
- Lead data stewardship programs and define roles/responsibilities across the organization
- Ensure compliance with relevant regulations (GDPR, CCPA, industry-specific requirements)
- Develop data classification schemes and retention policies
- Implement data cataloging and metadata management systems
- Build data governance committee andfacilitateregular governance reviews
Leadership & Collaboration
- Serve as the company's subject matter expert on AI and data governance
- Collaborate with executive leadership to align AI/data initiatives with strategic priorities
- Collaborate with Product, Software, and Data teams tomaintainalignment, actively partnering with our software team to build shared roadmaps, strengthen collaboration, and evolve together as our platforms and capabilities expand.
- Partner with IT, Operations, Finance, and Business Unit teams to understand needs and drive adoption
- Manage relationships with external consultants, technology partners, and industry groups
- Present regular updates to leadership and board on AI initiatives and governance metrics
- Build and mentor a small team as AI/data initiatives scale
Required Qualification
&
Education
Experience
- 7+ years of experience in data management, AI/ML implementation, or related fields
- 3+ years in a leadership or strategy role
- Proventrack recordof successfully implementing enterprise AI or data governance programs
- Experience working with cross-functional teams and driving organizational change
- Background in energy, utilities, or asset-intensive industries strongly preferred
Required Skills
& Competencies
Technical Skills
- Deep understanding of AI/ML technologies, capabilities, and limitations
- Strong knowledge of data governance frameworks (DAMA-DMBOK, DCAM, etc.)
- Familiarity with data management tools, platforms, and technologies
- Understanding of data privacy regulations and compliance requirements
- Experience with cloud platforms (AWS, Azure, or GCP) and modern dataarchitectures
- Knowledge of data analytics, business intelligence, and visualization tools
Soft Skills
- Exceptional strategic thinking and problem-solving abilities
- Strong communicationskills with ability to explain complex technical concepts to non-technical audiences
- Change managementexpertiseand ability to drive adoption across the organization
- Collaborative leadership style with ability to influence without direct authority
- Project management skills and ability to manage multiple initiatives simultaneously
Preferred Skills & Competencies
- Experience in renewable energy, clean energy, or asset management sectors
- Familiarity with asset performance management systems and operational technology
- Certifications in data governance (CDMP), AI/ML, or project management (PMP, Agile)
- Experience with predictive maintenance, IoT data management, or time-series analytics
- Knowledge of ESG reporting and sustainability data management
Physical requirements
- Up to 10%travelmay berequiredfor vendor meetings, conferences, and internal workshops.
