A curated portfolio of enterprise risk, GRC, data governance, fair lending, and AI/ML programs delivered across financial services and fintech — each with measurable outcomes.
Designed and implemented a comprehensive COSO ERM-based Fair Lending Risk Framework at Finance of America — encompassing internal risk assessments, regression analyses, redlining reviews, and AI governance protocols. Achieved 100% regulatory alignment and a 24% reduction in data inconsistencies.
Revamped the AML/BSA program end-to-end — updated the detection algorithm, fully automated the OFAC check process, overhauled policies and procedures, and built an internal risk assessment framework. Reduced manual review time by 97.33%.
Directed the full-lifecycle development of an Enterprise Data Mart and AI-driven GRC framework providing real-time KPIs/KRIs. Reduced operational overhead by 47% and saved 72% in compliance-related costs through automated oversight and risk governance.
Built and led a comprehensive TPRM program covering vendor onboarding, ongoing monitoring, and risk assessments. Mitigated vendor-related risks by 53% and implemented GRC platforms (VendorRisk, ProcessUnity, Venminder) for scalable oversight.
Built a HMDA review system and regulatory reporting mainframe that improved compliance accuracy by 84% and cut processing time by 67%. Developed systematic NMLS/MCR/MBFRF reporting processes reducing filing errors by 39%.
Led production of 93 monthly risk reports and models for asset management and compliance. Created the Portfolio Risk reporting package for 13 executives, improving operational efficiency by 26% and reducing reporting errors by 71%.
Partnered with the AI Task Force to create the enterprise AI strategy and established AI governance frameworks (Ethical AI / Responsible AI protocols). Implemented scalable data platform reducing inconsistencies by 24% and increasing retrieval speeds by 21%.
Deployed enterprise GRC platforms for mortgage lender clients, cutting compliance costs by 68% and improving audit pass rates by 53%. Reduced operational risk exposure by 48% through predictive analytics and automated risk controls.
Architected enterprise data strategies and AI integration roadmaps for financial services institutions, generating an average 17% increase in operational revenue. Achieved 53% faster reporting and 61% reduction in manual tasks through automation.
Core competencies spanning strategy, data, AI, analytics, governance, and cross-functional leadership developed across 15+ years in financial services and fintech.
Structured skill categories spanning executive leadership, AI & data technology, compliance regulation, data governance, and technical tools.
Deep regulatory expertise across consumer protection, privacy, mortgage lending, and financial crime compliance frameworks.
Deep domain expertise across the full mortgage lifecycle — origination, licensing, servicing, risk, and regulatory reporting — built over 15+ years in financial services.
Tools, platforms, and technologies leveraged to build data-driven risk, compliance, and analytics solutions.
Open to strategic leadership opportunities, consulting engagements, and professional collaborations.