Instructor
Richard Fisher
Chief Data Architect
About me
I am a Chief Architect and seasoned technology leader with over two decades of experience designing and delivering scalable, secure, and high-impact software and data architectures across Financial Services, Healthcare, Retail, and Telecommunications.
My work sits at the intersection of enterprise architecture, data strategy, and AI enablement. I specialise in building the data foundations that make advanced analytics and AI viable at scale, not just in theory, but in complex, regulated, real-world organisations.
AI initiatives rarely fail because of models. They fail because data is fragmented, ownership is unclear, governance is manual, and platforms do not scale. I focus on solving these structural data problems.
As Chief Architect within the Chief Data Office, I lead the development of forward-looking architectural frameworks that integrate AI, data science, and real-time analytics into enterprise ecosystems. My recent work includes designing and implementing a federated enterprise Data Mesh that accelerates time-to-market, automates governance, and enables reusable data products for both internal and commercial use cases.
I have a proven track record of:
- Establishing architecture capabilities from the ground up
- Modernising legacy platforms without disrupting the business
- Designing operating models that align ownership, incentives, and accountability
- Leading cross-functional teams through complex, high-stakes transformations
My leadership style emphasises engineering excellence, pragmatic design, and a ONE-TEAM culture that fosters collaboration, mentorship, and continuous improvement. I believe architecture should be embedded in the fabric of product development, not operating as a detached function.
I am passionate about:
- Data Mesh and domain-oriented design
- Federated governance that enables delivery rather than blocking it
- Self-serve data platforms that reduce friction for teams
- Architecting data foundations for scalable, trustworthy AI
I advocate for inclusive innovation and diverse perspectives as essential drivers of sustainable technology leadership.
If you care about enterprise data strategy that actually delivers AI outcomes, we should be talking.
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