Moataz Mahmoud is an enterprise data, analytics, and architecture leader with nearly two decades of experience across data-intensive and regulated industries, including financial services. His work focuses on building data foundations that remain coherent as organizations scale analytics, modernize platforms, and introduce AI. He has led enterprise-wide modernization, platform consolidation, and operating model transformations that improved data integrity, lineage transparency, and the reliability of regulatory and executive reporting. His experience spans the full data lifecycle, from ingestion to consumption, with a strong emphasis on aligning architecture, governance, and delivery. Moataz is particularly known for highlighting cross-domain misalignment as a hidden source of risk in complex organizations. His approach brings a pragmatic, systems-level perspective that balances innovation with control, enabling organizations to adopt analytics and AI in a way that is scalable, governed, and sustainable.
In large, fast-scaling financial organisations, architecture and governance can easily drift into becoming a brake on execution rather than an enabler.Hear practical lessons from real-world efforts to align architecture, governance and execution to support analytics, data and AI at scale. Discuss how to:
• Build a flexible but consistent architecture that can absorb complexity from mergers and acquisitions
• Design governance programmes that enable delivery rather than slow it down
• Create the foundations needed to modernise data platforms and safely unlock AI capabilities in a regulated environment
Check out the incredible speaker line-up to see who will be joining Moataz.
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