Design and lead scalable enterprise data platforms to support analytics, machine learning, and data science. Define architecture patterns, governance, modelling (Snowflake/Kimball), migrations, integrations, and best practices while collaborating with data scientists, engineers, and business stakeholders.

Design and deliver enterprise-scale AI/ML solutions and architectures. Build production-ready systems using Azure AI stack, LLMs, agent frameworks, AKS, and memory stores; engage technical and business stakeholders to operationalise optimisation, edge, and agentic AI capabilities.