Lee Nelson

About Lee Nelson

I am a seasoned product and program management leader with 25+ years of experience in high-value payments, enterprise systems, and applied AI/ML innovation. Recognized for my ability to simplify complexity, I’ve built and scaled global platforms that transform how businesses move money - seamlessly, securely, and intelligently.My career spans fintech, banking, entrepreneurship, and advanced AI, with deep domain knowledge across the full payment lifecycle - from initiation and screening through to fraud prevention, settlement, and post-settlement investigations. I bring a rare combination of technical fluency, operational strategy, and business acumen, which allows me to align infrastructure with user experience and regulatory compliance.Currently, I lead the redesign of a post-settlement investigations platform at JPMorgan Chase, replacing legacy tools with an AI-forward, agentic solution. In previous roles, I’ve architected straight-through processing models that eliminated thousands of manual repairs, reduced fraud false positives through neural networks, and secured multimillion-dollar funding for AI-native systems.Professional focal points include product roadmapping, agentic AI platforms, sanctions screening, compliance, workflow automation, stakeholder engagement, and full-stack delivery. I thrive at the intersection of payments and innovation, working closely with engineering, design, operations, and data teams to build resilient, trusted systems at scale.Colleagues describe me as a thoughtful, forward-thinking leader who blends systems-level thinking with a drive for clarity and outcomes. I’m always open to connecting with peers, engineers, product leaders, and builders shaping the future of payments. Feel free to reach out if you\'d like to connect.

Experience

1. Vice President Project and Business Analytics Manager

   JPMorganChase

   Jul 2011 — Present

   Lead technology, finance & business management, and operations functions within the Corporate & Investment Bank, focusing on treasury applications and AI-driven process optimizations.• Own product strategy and delivery for an AI-Enabled CRM supporting the Investigations division by integrating four LLM models to classify inquiries (SWIFT, email, client portal), trigger workflows, and auto-generate responses to eliminate manual routing. 3 Month POC, completed 6 of 12 Month MVP, and demonstrated 90% automation rate. • Delivered a 40% reduction in payment repair cycle time through ML-driven automation.• Realized $25 million in annual cost avoidance by scaling straight-through-processing and reducing manual interventions.

Education

• MIT Sloan School of Management

  Machine Learning in Business - Certficate

• Project Management Institute

  PMP, Project Management Professional

  2011 — 2011

• University of Phoenix

  MBA

  2005 — 2007

• Rochester Institute of Technology

  B.S., Management Information Systems, General

  1996 — 2002