Enterprise Chief Data Officer and AI governance executive with more than 25 years of leadership experience across global financial institutions, federal regulators, and Fortune 100 enterprises. I specialize in building regulatory-grade data and AI operating models that enable innovation, client data sharing, and monetization while strengthening institutional trust in highly regulated environments.

My work sits at the intersection of data strategy, regulatory expectations, and enterprise architecture. I have led firm-wide transformations that shift organizations from reactive data oversight to governance-by-design — embedding policy, controls, lineage, and quality directly into modern SDLC and CI/CD pipelines to support scalable analytics and AI.

I am particularly focused on domain-oriented data mesh strategies that balance federated ownership with enterprise standards, allowing organizations to scale reusable data products responsibly without increasing regulatory or operational risk.

I regularly partner with CEOs, boards, regulators, and C-suite leaders to translate complex regulatory, architectural, and data challenges into clear enterprise decisions. Experience spans global banking, capital markets, telecommunications, and public-sector institutions.