Lead AI enablement for financial institutions — including a top 5 U.S. bank — translating risk and compliance needs into practical ML and GenAI use cases with clear scope, controls, and monitoring plans.

Design and develop AI solutions across audit, financial crime, model validation, and reconciliation — automating evidence collection, investigation support, exception triage, and consistency checks.

Implement governance-first patterns for AI in production, including model documentation, control design, bias/fairness considerations, human-in-the-loop review, and ongoing performance monitoring.

Support Model Risk Management (MRM) programs through independent validation of vendor and internally developed models at banks with $1B–$50B in assets, assessing conceptual soundness, data quality, performance, stability, and implementation risk.

Evaluate model documentation and internal controls against regulatory expectations and industry sound practices; deliver clear findings, remediation recommendations, and defensible workpapers.

Partner with stakeholders across risk, compliance, audit, and technology to drive adoption — balancing innovation speed with operational constraints and control requirements.