Designed and operationalized AI Pods, a repeatable operating model to standardize how AI-enabled and agentic solutions are assessed, governed, delivered and scaled across priority accounts. Evidence: adopted across 17+ enterprise accounts, ~30% faster time-to-value, ~20% lower rework.

Led modernization initiatives across 6 financial institutions and 100+ applications, combining modernization governance, delivery coordination and scalable execution. The program contributed to up to 40% OPEX reduction within 12 months.

Led end-to-end data platform modernization addressing service instability, limited scalability, high operating cost and reactive decision-making. Acted as architecture and delivery lead, shaping a cloud-oriented target platform built on a data lakehouse foundation. Evidence: 40% reduction in operational costs, 20%+ improvement in efficiency and scalability, and 20% reduction in risk in a representative financial-sector case.

Led the modernization strategy and end-to-end migration of a legacy analytics environment toward a cloud-oriented data lakehouse model.

Led a multi-workstream transformation across enterprise data strategy, target architecture, governance, process redesign and change management, activating a new data-driven operating model aligned to business priorities.

Founded a Generative AI practice structured around reusable assets, repeatable delivery patterns and business-aligned initiative design. Built 7 reusable assets and supported 11+ initiatives, helping turn AI demand into a more structured organizational capability. Evidence: 7 reusable assets, 11+ initiatives delivered.