Solutions Engineering Leader at Conviva, shaping pre-sales across the Americas. I sit at the intersection of enterprise analytics, AI strategy, and team leadership.
I started my career deep in the data — running VOC programs, administering IBM Tealeaf, and building call-center intelligence systems from scratch. Over time I realized the work wasn't just about understanding customers; it was about persuading organizations to act on that understanding.
Today I lead Solutions Engineering at Conviva, building and shaping the pre-sales team across the Americas — and serving as a bridge between what customers need and what we build.
Building and shaping the pre-sales & SC team in the Americas. Leading presales activities, driving product design on new solutions, and serving as thought leader and marketing advisor as the company revamps its platform.
Team builder · Product shaperOwned technical wins on $5M–$20M enterprise deals. Designed AI-assisted analytics POCs that cut evaluation cycles by 30%. Built ROI & governance frameworks adopted at CIO/CMO level.
120%+ Quota · 3 consecutive yearsUnified digital data sources into a single analytics layer, accelerating executive reporting by 40%.
Delivered CX insights lifting checkout conversion and AOV across three luxury brands.
Managed 30+ enterprise clients, surfacing $10M incremental revenue through session replay and analytics POCs that shortened sales cycles.
$10M revenue surfacedLed a 40-person analytics org. Implemented 100+ CX changes, saving $5M while retaining/acquiring 500K customers.
$5M saved · 500K customersAnalyzed CX for 25M customers. Administered 800+ IBM Tealeaf events. Drove SDLC process improvements.
Four engagements that shaped
how I think about the work.
A major automotive OEM couldn't translate traffic into intent signals. We designed a POC demonstrating impression tracking at scale — correlating on-site behavior with CRM & inventory data in real time. Skeptical stakeholders became champions when they saw live recommendations appear during the demo.
Fraudsters gamed credit applications by switching devices, locations, and names. We built a correlation engine recognizing the same individual across device, location, browser fingerprint, and typing behavior.
Unified 5+ data sources — digital journey, app logs, CRM, call history, telephony — into a real-time agent context panel. Average handle time dropped 30 seconds. At millions of calls per year, that compounded fast.
Consolidated fragmented analytics sources into a unified layer, standardized KPIs, and built the instrumentation framework that became the backbone of flagship executive reporting.
Whether you're evaluating a DX platform, rethinking your data strategy, or building the business case for AI — I'm happy to think through it with you.
I'll respond within 24 hours.