Overseeing the development and deployment of an open-source, federated data-sharing framework, enabling secure, decentralised exchange of information across sectors.

One of the greatest challenges in digital interoperability is robotics data integration and real-time command execution. As part of the NDTP’s work, we tested the Integration Architecture’s ability to process and transmit robotics data, using Boston Dynamics’ Spot to autonomously search for objects in the field, report findings, and return actionable insights. This experiment validated the IA’s role in secure, real-time data exchange for autonomous systems—laying the groundwork for wider applications in emergency response, infrastructure monitoring, and defence.

A key focus of my work is leading real-world pilots that validate how digital infrastructure, data-sharing, and automation can drive better policy, operational resilience, and decision-making. These demonstrators test how better data-sharing can optimise public sector interventions, from identifying energy efficiency priorities in housing to enabling faster, more coordinated emergency response. They also explore how predictive modelling and geospatial intelligence can help government plan for cascading infrastructure failures, ensuring that digital capabilities don’t just collect data but actively inform and improve policy execution.

Beyond delivering tangible benefits, they serve as a critical feedback loop for the Integration Architecture, ensuring it is adaptable, scalable, and effective across diverse real-world applications. These are delivered in collaboration with government, industry, and third-sector stakeholders, demonstrating how interoperable digital ecosystems can drive policy, operational, and technological change at scale.

Effective innovation depends not just on execution, but on the structures that enable long-term scalability, interoperability, and compliance. I oversee multi-supplier engagements end-to-end, from drafting ITTs and structuring agile delivery to aligning integration, data, and analytics workstreams within a coherent governance framework.

The smallest contractual details set the foundation for success or failure, yet they are often overlooked. Ensuring that IP ownership is clearly defined, mandating code be compliant with the intended publication license, or requiring GenAI-generated code to be vetted for open-source risks are not minor technicalities - they are essential safeguards that determine whether digital infrastructure can be securely scaled, adapted, and maintained over time. These considerations, built in from the outset, prevent costly barriers to interoperability, security risks, and vendor lock-in down the line.

This is about governance that enables, rather than constrains, ensuring that teams can actively collaborate on shared digital infrastructure, open-source contributions are viable, and development remains adaptable beyond the lifecycle of individual contracts. Delivering complex digital programmes is not simply about managing workstreams; it is about ensuring that digital foundations are structured for long-term success.

Establishing digital governance frameworks that balance interoperability, security, and sustainability is essential to ensuring that digital initiatives move beyond ambition to practical, scalable implementation. Governance should enable rather than constrain, providing the structures that allow technology, policy, and operational needs to align without introducing unnecessary friction.

By establishing open contribution models, structured compliance frameworks, and scalable integration strategies, organisations can create adaptive, resilient digital ecosystems. The focus is not just on risk management but on building the conditions for long-term success, where innovation can thrive without compromising trust, security, or strategic direction.