Helping organisations build the semantic, architectural, data management and analytic foundations that make their businesses effective and their AI trustworthy.
Independent expert with over 26 years of experience in data architecture, knowledge graphs, semantic modelling and enterprise data governance. Regular international speaker, podcast guest and community contributor.
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Community work sits at the heart of what I do. The data profession advances fastest when practitioners share openly.
Regional Lead Trainer for DCAM (Data Management Capability Assessment Model) and CDMC (Cloud Data Management Capabilities). Chair of the EDM AI Forum and active contributor to the enterprise data management community on a range of initiatives.
Representing London and the South East, supporting the professional data management community through events, mentoring and knowledge sharing.
Regular speaker, keynote and co-chair at industry events including the IRM UK Data, AI and Analytics conference series.
A selection of recent appearances across conferences, community sessions and podcasts.
How neuro-symbolic AI and knowledge graphs improve LLM powered analytics and support safer AI agents.
Watch on YouTube →Centred on trust, AI, regulation and automation, plus a workshop, Thriving with Data Fabric.
View on LinkedIn →Showing how digital twins can simulate the business and improve LLM accuracy.
View on LinkedIn →Core concepts, implementation sequence, common pitfalls and unlocking data value at scale.
Talk page →Further talks include Gartner Data & Analytics, Google Cloud Next, New Scientist, DataVision, Data Innovation Summit and Data Decoded LDN & MCR.
Including moving from human readable to machine readable information models.
Webinar page →Why governance cannot remain a manual process as regulatory demands and data complexity rise.
Episode →With Enterprise Knowledge, previewing the Semantic Layer Symposium talk.
Episode →And how the two fit together in real organisations. And many more.
Episode →
I work with organisations that want their data and architecture estates to be effective and genuinely AI ready. My core thesis is simple: neither business processes nor large language models are any better than the context they are grounded in, and that grounding comes from solid contextual and relational metadata, well governed semantics and coherent architecture.
Ontology design (OWL, RDF, SKOS), taxonomy development, knowledge graph strategy and implementation across retail, insurance and financial services domains.
Solid best practice on data management, data governance, security and privacy.
Advisory for enterprises, investors and vendors on data governance, AI readiness and enterprise architecture alignment.
Connecting business capability models, data models and technology landscapes so architecture becomes a living asset rather than shelfware.
Keynotes, panel chairing, workshop facilitation and thought leadership on the intersection of semantics, governance and AI.
Over more than two and a half decades I have led business and technology programmes, data architecture and semantic modelling initiatives across global financial services institutions, telecommunications, retail groups and technology vendors.
Roles have included Global Head of Business Data Architecture for HSBC's Global Banking and Markets (Investment Bank), Global Head of Governance for the Financial Intelligence Unit, and Head of Information Architecture for BT Group, covering businesses in 180 countries.
Making sense of data fabric and data mesh.
Read article →Why every culture warns us about the need for conscious intention, and what this means for our boardroom use of modern technologies.
Read article →How subtle AI models already change our behaviour.
Read article →