
Portfolio & Experience
Fragmented signals, unified into decision systems that scale.
10 Case Studies · 4 Organizations
From USAA's onboarding engine to iPROMOTEu's identity architecture: each case study is a chapter in the larger argument about decision systems at scale.
The Larger Argument
Read the white paper to see how the connective tissue across all 10 case studies argues for a single architectural pattern: the decision layer.
Read the White PaperHow I Work
01
Human Centered Design sessions, user research, and stakeholder interviews to understand the real problem: not the stated one.
02
Persona development, life event trigger mapping, and data analysis to frame the opportunity with precision.
03
Rapid prototyping, iterative development, and data-driven roadmapping to ship products that actually work.
Experience
Producer to Product Manager
The problem I inherited: USAA's onboarding workflow was a disconnected series of touchpoints with no unified logic for driving primacy (direct deposit acquisition). I built a 90-day trigger-based onboarding system with daisy-chained life event signals, reducing drop-off and measurably improving direct deposit conversion. I transferred to Car Buying, ran the first Human Centered Design session in the division, and launched a template-driven Learning Center covering auto loan, insurance, and maintenance. I owned OEM Discounts and built Tableau dashboards that powered roadmaps for Mercedes-Benz, BMW, and other OEM partners.
Product Manager: Platform Modernization
The problem I walked into: a fragmented vendor integration ecosystem where manual onboarding had plateaued at ~90 suppliers despite the PromoStandards consortium establishing 8 API standards. I identified the architectural gap and began designing a data lake approach to normalize supplier data at scale, replacing one-off integrations with a reusable ingestion pipeline. I laid the foundation for what would become the NexusStream architecture.
Product Manager
The problem: cross-border fund transfers between the US and Mexico lacked a reliable, compliant digital rail. I implemented an enhanced onboarding workflow modeled on the USAA trigger-based approach, adapted for a dual-regulatory environment (US bank + Bank of Mexico City). I identified structural risk in a user-generated content strategy and redirected toward a controlled data model, navigating complex multi-stakeholder alignment across two banking systems.
Product Manager
The problem: the US Air Force had an innovation funnel generating volume but no visibility. Leadership couldn't measure quality or prioritize submissions. I built a scoring and decision layer on top of the funnel: structured exercises (TAM/SAM/SOM, ICP, MMR) that forced submissions through a qualification framework, plus a review portal for leadership to grade, pass, or fail innovations with documented rationale. I converted a noise-generating intake system into a signal-producing decision engine. The org was later acquired.
Senior Product Manager
The problem: a post-acquisition integration crisis. The AiA acquisition created two parallel user bases on incompatible platforms, and the underlying ERP was a home-grown system with no scalability path. I led the full migration of AiA users to iSUITE, consolidating workflows, rationalizing data models, and preserving continuity for distributors. I simultaneously spearheaded the ERP upgrade from the legacy platform to NetSuite, leading discovery, requirements, and vendor alignment through March 2026.
Builder & Founder
I'm building decision systems in the open. Five prototypes shipped so far: NatureFirst (AI-powered flora/fauna identification), Anertia (authentic self-expression platform), C-4 Command (dealer intelligence engine with LEME scoring), NexusStream (data lake architecture case study), and Talox (SaaS for heavy equipment shops). Each explores a different application of the signal to context to decision framework.
The Operating System
ibuildsystems.io
Four frameworks. One repeatable system. Applied across banking, fintech, government, and B2B SaaS to turn broken workflows into scalable revenue engines.