Scaling Skills Architecture by Delivering a Workforce Taxonomy with GenAI

Client Overview

A major Australian bank undergoing a global workforce transformation. With over 35,000 employees, the organisation was implementing a new HRIS and required a future-ready capability model to support a skills-based operating model.

The Challenge

The client needed to develop a comprehensive skills taxonomy aligned to its enterprise-wide job and capability architecture. The existing structures lacked consistency and scalability, making it difficult to implement in the new HRIS and Skills Cloud.

Manual mapping of roles to capabilities across such a large workforce would have taken months and risked inconsistency across business units.

The Solution

Ben led the technical project delivery for this initiative. Leveraging GenAI and Lightcast data, he created a dynamic approach to map roles to capabilities at scale. This included:

• Using AI to standardise and cluster skills across hundreds of roles.
• Creating a reusable logic to align skills with a new Skills Cloud architecture.
• Collaborating closely with HR, tech, and strategy teams to ensure practical integration into the new HRIS.

The project delivered a scalable skills taxonomy ready for integration into the client’s new system — all while maintaining traceability and clarity for internal stakeholders.

Results

• Delivered a complete skills taxonomy in weeks — saving an estimated 5.5 months of manual work.
• Enabled a consistent capability model across a 35,000+ workforce.
• Positioned the client to adopt skills-based workforce planning with confidence and speed.