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About

I have spent 20 years building products from zero and running the P&L to scale them. Not one product launch repeated across templates, but four distinct commercialization stories across three companies: a SaaS product incubated from stealth to 200+ customers and $432K ARR at CanadaHelps, a proprietary big data platform turned into a $50M+ market facing business at LexisNexis, a claims triage product grown to $20M in revenue, and payment APIs brought from concept to 500+ bank adoption at Fiserv. The pattern is the same each time: find the underserved segment, build the business case, ship, then own the revenue line.

Scaling what exists requires a different discipline than building from scratch. At CanadaHelps (Canada's largest online giving and payments platform, $260M+ processing volume, $27M+ P&L), I grew the core business at 7.8% CAGR, moved customer retention from 67% to 83%, stickiness from 25% to 77%, and NPS from 5 to 33. At Fiserv, I led a ~$150M banking intelligence portfolio and drove 10% growth over two years. The operating work is less visible than a launch: pricing, retention loops, gross margin improvement, annual planning, quarterly board presentations. It compounds quietly.

AI is an operating lever, not a slide deck topic. I designed and deployed a human in the loop AI sales agent that raised lead conversion from 5% to 45%, a 45 percentage point lift. I built an AI PM system that cut development cycles from many weeks to under two weeks. Outside the enterprise, I shipped five production AI systems: competitive intelligence, contract risk analysis, financial reconciliation, career intelligence, and the sales agent itself. Every system uses structured output validation and human oversight. No hallucinated outputs reach the user.

The work has spanned four countries over 15+ years. I started as the first Cognizant employee at IMS Japan, running a $10M global analytics delivery across three continents. An MBA at Duke followed. Then seven years at LexisNexis in the U.S. building and commercializing data platforms. A move to Fiserv for payments and open banking. Cross border relocation to Canada, consulting through Mapleview Partners, and then the GM role at CanadaHelps. The breadth is deliberate: product management, general management, and commercial leadership are different muscles, and I have trained all three.


Experience

Oct 2026 to Present

Strategy & Operations

Databricks

  • Product adoption strategy for Databricks’ data and AI platform across enterprise accounts.

Nov 2021 to Present

Independent Advisor

Mapleview Partners

  • Continuous advisory practice. Three consulting engagements during relocation (financial model, investor ready business plan, IT consultancy growth plan). Paused for CanadaHelps Sep 2023; resumed Jul 2026. Current work includes AI QuickBooks Reconciliation, AI Competitive Intelligence, and AI Contract Risk Analysis (Redline).

Sep 2023 to Jul 2026

General Manager, B2B & New Product Incubation

CanadaHelps: Canada’s largest online giving and payments platform. $260M+ processing volume. $27M+ P&L.

  • Incubated Ensemble from stealth to 200+ customers, $36K MRR, NPS 57 in under 18 months. 86% acquired through product led growth.
  • Deployed a human in the loop AI sales agent that raised lead conversion from 5% to 45%. Quarterly board presenter for 3 consecutive years.

Oct 2019 to Oct 2021

Senior Director, Product Management

Fiserv

  • Led a ~$150M banking intelligence portfolio serving ~4,000 banks and credit unions. Drove 10% growth over two years.
  • Led the cross company initiative deploying SBA loan disbursement rails during Covid: $5B in financing to 100,000+ small businesses in under 3 months.

Jun 2012 to Oct 2019

Director of Product Management

LexisNexis Risk Solutions

  • Commercialized an internal big data platform (HPCC) into a $50M+ market facing business. 100+ enterprise clients. 25,000+ developer community.
  • Developed 12 business cases requesting $38M in total investment; obtained approvals from the CEO and Reed Elsevier executive chairman.

2010 to 2012

MBA

Duke University (Fuqua School of Business)

  • Raised $225K and created the Dean Yep Jr. Prize in perpetuity for Duke’s annual Startup Challenge.

2004 to 2010

Technology Lead

Cognizant Technology Solutions

  • Global analytics delivery across 3 continents (Japan, U.S., India). $10M revenue. First Cognizant employee at IMS Japan.

Education

MBA, Duke University

Fuqua School of Business

B.Tech, Electronics & Communication Engineering

First Class with Distinction

Pragmatic Institute Certified

Build


What Drives Me

Building businesses from zero. I have done this four times across three companies. CanadaHelps Ensemble: stealth to 200+ customers and $36K MRR in 12 months. LexisNexis HPCC: internal platform to $50M+ external business. The 0 to 1 to N arc, discovery, launch, scale, is my core operating mode.

Owning the full stack: product, commercial, and P&L. I do not build the roadmap and hand it off. I own the revenue line, the pricing, the GTM motion, and the team that delivers it. At CanadaHelps (Canada's largest online giving and payments platform, $260M+ processing volume, $27M+ P&L) I owned all of it. Product leadership and commercial accountability are inseparable.

AI applied to real commercial problems. Not AI for its own sake. AI that changes how a business acquires, qualifies, and serves customers. I built a human in the loop AI sales agent that lifted lead conversion by 45 points. I shipped five production AI systems. This is the intersection where product leadership and applied AI compound.


Get in Touch

Open to conversations about product leadership, commercial strategy, and AI driven product development.