Enterprise Architect | Technology Leader | Payments, Cloud & Responsible AI Governance
Banky, has popularly known, is a technology and enterprise architecture professional with more than 17 years of experience delivering business-critical platforms across banking, payments, fintech and energy retail. His work spans enterprise and solution architecture, cloud platforms, payment systems, systems integration, cybersecurity, technology modernization and responsible AI governance.
He is an enterprise technology leader whose career has combined software engineering, payment technology, solution architecture and enterprise-scale modernization. He has worked on complex technology environments involving banks, payment processors, fintech companies, national payment infrastructure, retail energy systems and cloud-based enterprise platforms.
His professional experience includes architecture and technical leadership roles across Nigeria and Canada, with responsibilities spanning payment processing, enterprise integration, API platforms, cloud architecture, cybersecurity, production resilience and technology governance.
Banky currently works in enterprise architecture within the energy-retail and payments environment in Canada, where his work includes retail technology modernization, payment infrastructure, cloud integration, secure vendor connectivity, enterprise services and emerging technology considerations.
He is currently pursuing a PhD in Information Technology, with research focused on operationalizing AI governance in financial services.
His research examines how organizations can move beyond high-level responsible-AI principles and translate governance requirements into practical enterprise controls, evidence, decision rights, accountability and lifecycle monitoring.
His proposed Control-and-Evidence Governance Architecture for Financial Services (CEGA-FS) explores how financial institutions can govern AI use cases from initial intake and risk classification through control assignment, evidence generation, approval, deployment, monitoring, change management and retirement.
The research is intended to contribute practical knowledge at the intersection of enterprise architecture, financial services, responsible AI, risk management and technology governance.
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