National Content & Technology Cooperative

Artificial Intelligence

• Serve as the operational leader for NCTC’s AI COE, guiding its strategy, governance, day-to-day execution, and continued growth.
• Build and manage the AI COE operating model, including intake, prioritization, milestones, risk management, governance, and lifecycle management of member AI initiatives.
• Develop and manage a portfolio of AI use cases, evaluating opportunities based on member value, technical feasibility, strategic alignment, and return on investment.
• Establish practical AI implementation standards, best practices, reusable tools, and governance frameworks that support responsible and scalable AI adoption across NCTC’s membership.
• Coordinate cross-functional AI delivery teams, including product, data, engineering, vendors, contractors, and member stakeholders, to deliver successful outcomes.
• Define adoption metrics and dashboards that measure member engagement, platform utilization, business impact, and operational performance.
• Partner with Member Success, Product, Sales, and Marketing to increase awareness, adoption, and value realization of AI COE services.
• Evaluate emerging AI technologies, vendors, and strategic partnerships and recommend investments that strengthen the AI COE portfolio.
• Promote responsible AI practices, including appropriate attention to governance, security, privacy, compliance, and ethical use.
• Represent the AI COE in executive discussions, member advisory councils, industry events, and board presentations.
• Lead NCTC’s enterprise business intelligence and data analytics strategy to ensure the organization has trusted, useful, and actionable information to support business decisions.
• Oversee the architecture for NCTC’s core business systems, data pipelines, reporting layers, and analytics capabilities.
• Define and execute a company-wide approach for how data is curated, modeled, governed, and consumed across the organization.
• Establish data quality standards, common metric definitions, and governance practices that support reliable reporting and informed decision-making.
• Enable self-service reporting across NCTC by working with subject matter experts and business leaders to convert available datasets into decision-ready insights.
• Translate business data into reporting and analytics that improve organizational performance and support strategic priorities.
• Develop and maintain NCTC’s enterprise data and AI roadmap, aligning technology priorities with NCTC’s strategic goals, operational needs, and member experience.
• Monitor emerging technologies, automation opportunities, and industry trends to identify practical ways to improve efficiency, enhance services, and support innovation.
• Evaluate and recommend technology investments that support NCTC’s long-term strategy and the evolving needs of its members.
• Encourage a culture of experimentation, knowledge sharing, and continuous improvement across technology and data initiatives.
• Manage relationships with technology vendors, managed service providers, software vendors, cloud providers, and platform partners that support the AI COE and enterprise data initiatives.
• Support the financial and operational performance of the AI COE, including maintaining the AI COE profit and loss statement as approved by the NCTC Board of Directors.
• Optimize software licensing, infrastructure costs, and technology resources to support business priorities and responsible growth.

Executive Director – Artificial Intelligence, Enterprise Data