Senior technical governance leader with 20+ years helping regulated enterprises navigate the intersection of AI governance, data strategy, and compliance — through systems architecture, not just policy.
Most organizations treat these as separate disciplines. That's why 70% of AI projects stall in pilot.
Building governance into the AI lifecycle from day one — frameworks, audit methodologies, risk registers, and compliance operationalization for regulated enterprises.
Architecting organizational intelligence systems that make governance operational — taxonomies, metadata schemas, and enterprise knowledge capture at scale.
Enterprise data governance programs with robust quality, lineage, and privacy controls — transforming data from regulatory liability to strategic asset.
Architecting enterprise-scale change that sticks — from organizational readiness to sustained adoption, making transformation a discipline, not an afterthought.
From Big 4 consulting to Fortune 500 financial institutions to the Federal Reserve — delivering governance solutions where failure is regulatory, reputational, and operational.
Full Career & Portfolio →Whether you're implementing AI at scale, preparing for regulatory audits, or building a governance program from scratch — I architect the connective tissue that makes it work.
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