Director, AI Strategy & Data Governance

About Radian Generation

From Startup to Grownup, Radian Generation has evolved from a small team into a trusteded leader in third-party renewable energy asset management, compliance, and cybersecurity solutions. With a mission-driven approach and deep industry expertise, we deliver integrated services and forward-thinking strategies that help our clients optimize the performance, value, and longevity of solar, wind, and battery storage assets across the full project lifecycle.

We work alongside renewable energy investors, owners, and operators to turn complexity into clarity - helping them make smarter decisions, boost performance, and stay compliant. As an extension of our clients' teams, we deliver the insights and outcomes that drive long-term success - empowering energy transformation and making a meaningful impact on the path to a cleaner future.

Are you a hands-on builder who enjoys turning data and AI into practical, scalable solutions?

We are seeking a Director of AI Strategy & Data Governance to help move our organization from experimenting with AI to operating it in a repeatable, trusted, and value-driven way. This role is focused on designing and delivering AI-enabled solutions that improve how teams work, how decisions are made, and how data is leveraged across the business.

In this role, you will lead the development and execution of our AI roadmap while establishing pragmatic data governance practices that support—not slow down—innovation. You’ll work closely with Software, IT, Product, and business teams to identify high-impact use cases, build and deploy solutions, and create the structures needed to scale AI responsibly over time.

This is a builder-oriented role for someone who is comfortable with ambiguity, enjoys getting their hands dirty, and thrives at the intersection of strategy, execution, and enablement. Success will be measured not by decks or policies, but by delivered outcomes, trusted data, and AI capabilities that teams actually use.

Role and Responsibilities

• AI Strategy, Roadmap Development & Implementation
• Lead and continue to refine a clear and realistic AI roadmap that supports company goals.
• Translate enterprise challenges and goals into actionable AI initiatives that improve productivity and margins.
• Partner with Software, Product, and IT 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 and facilitate regular governance reviews

Leadership & Collaboration

• Serve as the company's subject matter expert on AI and data governance
• Collaborate with