Director, AI Strategy & Data Governance

Radian Generation

1d•$130,000 - $150,000•Remote

About The Position

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.

Requirements

Bachelor's degree or equivalent practical experience
7+ years of experience in data management, AI/ML implementation, or related fields
3+ years in a leadership or strategy role
Proven track record of successfully implementing enterprise AI or data governance programs
Experience working with cross-functional teams and driving organizational change
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 data architectures
Knowledge of data analytics, business intelligence, and visualization tools
Exceptional strategic thinking and problem-solving abilities
Strong communication skills with ability to explain complex technical concepts to non-technical audiences
Change management expertise and 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

Nice To Haves

Background in energy, utilities, or asset-intensive industries highly desired
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

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 executive leadership to align AI/data initiatives with strategic priorities
Collaborate with Product, Software, and Data teams to maintain alignment, 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