Fintech programs, from partner integration to launch.

Senior project manager in fintech. Five years building products across fintech and retail technology, most recently a wallet and card program spanning issuing, deposits, and card payments. I run the launches where the hard part isn't the product; it's aligning a bank partner, a roster of vendors, and the integration systems that no single team owns end to end.

Regulated Product Launches
Bank & Vendor Partnerships
Platform Integration
Payments & Card Issuing
Stakeholder Alignment
Structured Intake

Structured Intake

Partner requirements arrive as email threads, PDFs, and hallway asks. I build standardized intake protocols that turn them into assessed, prioritized, traceable work, so by the time a request reaches the engineering backlog, most of the questions are already answered.

Neutral Assessment

When a bank, a vendor, and a product team all want to be first, prioritization can't be political. I use data-driven scorecards to give a defensible "neutral no," so resources follow impact rather than whoever escalated loudest.

Forecasting Around Dependencies You Don't Control

In regulated fintech, the critical path usually runs through someone else's org: a bank's review cycle, a vendor's release train, a certification queue. I model those dependencies explicitly instead of assuming them away, which is why my dates hold.

Selected Initiatives

Digital wallet and card program
Senior Project Manager, Wallet & Card Program

Digital Wallet & Card Program Launch

Drove a full banking and card program (wallet issuance, deposit accounts, debit cards, and card payments) from kickoff through production testing, for a US remittance customer base of roughly 10 million and more than a dozen integrated third-party platforms.

The Constraint
Eight months from kickoff to a production-tested program, with a sponsor bank, a debit processor, and a card production pipeline all sitting on the critical path, and none of them under our control.
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Data Analytics Dashboard
Strategic Planning & Data Governance

Bill.com: Industry Segmentation Strategy

Built a neutral assessment framework to identify high-growth verticals post-COVID, using a $63B transaction dataset to drive resource allocation.

The Impact
Provided the data governance required to shift resources toward Healthcare & Professional Services, validating the pivot with a 16M record analysis.
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AgentPay Mobile Architecture
Product Manager, Field Agent Mobile App

AgentPay: Standardizing Field Operations

Conceptualized and delivered a unified mobile ecosystem that enforced process standardization through UI constraints, reducing operational inefficiencies.

The Strategy
Reduced operational inefficiencies by centralizing commission tracking and rate calculations into a single "Source of Truth" workflow.
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Workflow Planning
Program Management & Stakeholder Alignment

Global Web Features: Intake & Governance

Implemented a strict 3-phase implementation protocol (Testing, Feedback, Monitoring) to gate releases for high-traffic web features.

The Outcome
Standardized the release process across cross-functional teams, resulting in a projected ~$875K incremental annual revenue.
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Analytics & Modeling

Earlier quantitative work: the statistical grounding behind the assessment frameworks above.

Statistical Framework & Prioritization

Starbucks: Recommendation Drivers

Regression analysis across thousands of customer responses isolating the "vital few" improvements that statistically drive recommendation, and the many that don't.

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Technical Discovery & Modeling

Loan Approval: Predictive Modeling

Evaluation framework comparing three ML models for high-volume lending decisions, weighting false positives as business risk rather than a metric.

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Outside the Program

I'm building Armocromia, a Chrome extension that tells you whether the item you're looking at online actually suits your coloring. Three questions work out your color profile; the extension then scores the product page against your palette and explains the score.

It's the fashion interest and the product instinct in the same place, and it's teaching me to do the thing I usually manage. I'm writing it myself, in React and TypeScript, one broken build at a time.

The design decision I care most about: three questions cannot determine anyone's true season, so the product says a likely direction and shows a match band rather than a fake 100% score. Overclaiming precision is the fastest way to lose someone's trust, in a shopping tool or in a program status report.

Outside that: fashion, travel, coffee worth sitting down for, and enough time outdoors to reset between launches.

Cool & Soft
Cool & Contrast
Warm & Bright
Warm & Earthy

The four starting palettes Armocromia works from: a likely direction, not a verdict.