Our People.

David Glen founded Jouleron to help people and organisations put AI to practical use. He is driven by the opportunity to improve economic productivity through AI adoption and to ensure its benefits reach society as a whole.

A technology executive and adviser with more than 27 years of experience, David brings a practical understanding of how technology, people and business change work together. He has led technology functions of around 65 people across New Zealand and Australia, developed strategy and operating models, and guided complex organisational change. His AI experience spans enterprise adoption programmes, research into productivity and adoption, and hands-on development of AI workflows and prototypes.

David holds an Executive MBA from Massey University, where his final applied business project examined AI productivity and the factors that help people adopt it effectively. At Jouleron, he focuses on making useful AI accessible and affordable, reducing routine work and complexity, and helping people build lasting capability. His aim is to free people to focus on judgement, creativity and work that matters.

Vimal Naran helps leaders and teams turn AI opportunities into practical changes. He brings an engineering leader’s judgement to where AI can improve work, how it fits with existing systems, and what people need to use it effectively.

With more than 20 years of experience, Vimal has progressed from software development to setting technology strategy and leading delivery across engineering, data and technical assurance. He has led multidisciplinary teams and managed multi-million-dollar budgets in complex, highly regulated businesses. His experience spans data platform modernisation, enterprise integration, digital commerce and customer services, and major finance and compliance programmes.

At Jouleron, Vimal focuses on improving engineering workflows, reducing repetitive manual work and connecting AI with existing business systems. He combines technical depth with experience coaching leaders, strengthening engineering and testing practices, and supporting adoption with appropriate human oversight. He is extending his expertise through a Master of Applied Artificial Intelligence at AUT. His aim is to give people clear advice, practical solutions and the capability to keep improving after an engagement ends.