Shilpi Jha

Ai Ml Program Leader @Wells Fargo

Austin, TX, US

Leading end-to-end monitoring and governance for 10+ AI/NLP/GenAI/ML models at Wells Fargo, acting as the single point of accountability for model performance reporting, stakeholder communication, and resolution of risk findings in alignment with enterprise MRM frameworks.• Specialized in model risk management and regulatory compliance, with hands-on experience in developing and executing Model Monitoring Plans (MMPs), ensuring adherence to SR 11-7 / OCC and managing model-level control activities through cross-team coordination.• Collaborating across several technical and non-technical teams including Model Development, Validation, Compliance, AI Engineering, and Risk Management to align on KPIs, define risk thresholds, secure data access, and maintain monitoring documentation across Jira and Confluence.• Supporting validation teams by contributing to backtesting, sensitivity analysis, and benchmarking activities as part of cross-team model performance review processes.• Delivering technical program leadership for high-impact GenAI and ML initiatives, streamlining monitoring pipelines, setting performance KPIs, and building feedback loops that enhanced transparency, reduced alert fatigue, and enabled scalable governance.• Driving stakeholder alignment and regulatory readiness by proactively engaging with Model Risk, Internal Audit, and Compliance teams to review dashboards, assess metric stability, and address audit observations with timely and well-documented model performance artifacts.• Championed risk transparency and operational efficiency through creation of executive dashboards (Tableau, Power BI), clear documentation of data lineage and risk controls, and continuous tracking of data drift, feature stability, and model degradation trends to inform ongoing risk posture.

The University of Texas at San Antonio

MS, Computer Science