Artificial Intelligence

• Lead advanced analytics using SQL, SAS, Python, and AI/Gen AI techniques to detect emerging fraud patterns.
• Conduct in depth evaluations of VRM/FraudGuard rules; recommend enhancements to improve detection accuracy and reduce false positives.
• Develop analytical models, scenario analyses, and predictive approaches to strengthen fraud surveillance.
• Champion the integration of AI/Gen AI tools in fraud detection workflows.
• Oversee productivity, SLA adherence, and performance analytics of fraud detection teams across Issuing and Acquiring.
• Conduct root cause and gap analysis to highlight inefficiencies and recommend actionable improvements.
• Develop performance dashboards and scorecards using Power BI and Excel.
• Ensure timely, accurate, and automated MIS for senior leadership, committees, regulators, and other stakeholders.
• Deliver comprehensive, data driven presentations with clear and structured analytical insights.
• Maintain high quality governance standards in data reporting and visualization.
• Lead automation of manual data processes through SQL scripts, macros, workflows, and BI tools.
• Maintain secure, scalable fraud databases and ensure data governance and integrity.
• Introduce AI/Gen AI automation capabilities to enhance efficiency, accuracy, and processing speed.
• Collaborate with IT, Business, Product, Compliance, and Operations for fraud-related initiatives and system enhancements.
• Provide analytical support, project insights, and business cases to senior management.
• Support strategic planning, forecasting, and committee reporting through strong analytical and presentation capabilities.

Senior Manager – Analytics, AI Driven Strategy

• Design, build, and deploy AI-driven systems rapidly across the Actionstep (CRM), Microsoft 365, and QuickBooks ecosystems.
• Identify and eliminate inefficiencies by designing end-to-end workflows (Intake → Drafting → Signing → Funding).
• Utilize APIs, low-code/no-code tools (Zapier, Make), and custom scripting to connect disparate platforms.
• Implement human-in-the-loop validation systems to ensure legal accuracy, compliance, and ethical standards while reducing AI hallucinations.
• Develop real-time dashboards for leadership to track KPIs such as revenue, conversion likelihood, and marketing ROI.
• Partner with attorneys, paralegals, and marketing teams to translate operational needs into technical solutions.

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Senior Manager – Analytics, AI Driven Strategy

AI Systems & Automation Strategist