Architecture strategy, target architecture and domain decomposition.
BIAN-aligned service models, capability and service maturity assessment.
Architecture metamodels, platform architecture and transformation roadmaps.
Architecture operating models, Architecture Board decision flows and review practices.
ADR / EADR, reusable standards, architecture repositories and technical debt governance.
Decision support practices that make architecture review faster, consistent and reusable.
BI, DWH, Data Lake, Lakehouse, MDM and enterprise data distribution.
ML platforms, MLOps, LLM inference, RAG, agents, A2A / MCP integration patterns.
AI governance, model risk, Data Governance by Design and controlled GenAI adoption.
Retail lending, risk management, CRM, sales and personalisation.
Corporate finance, data office, platform modernisation and governed transformation.
Balancing delivery speed with resilience, compliance and long-term maintainability.
Established governance patterns, ADR / EADR practices and review guardrails enabling 10-12 architectural changes per day to be assessed consistently against strategy, domain architecture and risk controls.
Formulated an AI-native transformation concept covering governed GenAI adoption, architecture decision support, progress measurement and adoption across domains, systems and platforms.
Steered platform architecture across ingestion, BI, DWH, Data Lake / Lakehouse, semantic layer, MDM, ML training and inference, MLOps, RAG, agents and model risk controls.
Designed and defended conceptual architecture for a high-availability digital platform, including transformation from a composite monolith towards service-oriented and microservices architecture.
Designed a heterogeneous architecture for a digital drilling platform combining service-oriented and microservices patterns, ML capabilities, computer vision and digital twins.