Product Leader · Data Systems · Platform Architecture
Product leader with an analytical foundation in behavioral science and 8+ years building data platforms and operational systems where precision and business outcomes are inseparable. I'm drawn to complex, ambiguous environments where the challenge is imposing structure on messy data and translating it into systems organizations can rely on for high-stakes decisions.
View Selected WorkI build data systems that turn messy inputs into reliable decisions.
My career has a consistent theme that isn’t obvious from industry labels.I take systems where the data is messy, the stakes are high, and the structure doesn’t yet exist, and I build the infrastructure that makes them reliable and trusted.
That foundation started in graduate school. My M.A. in Experimental Psychology at Florida Atlantic University focused on data collection methodology, statistical validity, and what it means for a measurement to be reliable. My thesis examined how methodology shapes the conclusions we draw. That insight continues to shape how I think about systems and the data they produce.
It shaped how I approached property data early in my career, how I built valuation infrastructure supporting a $40M institutional credit facility, and how I design data systems and governance controls today. When I evaluate a system, I’m not asking whether it works, I’m asking whether the team can trust it completely.
My work sits at the intersection of product, data, and operations. I build internal platforms and decision systems that translate complex, messy inputs into structured outputs the business can act on with confidence.
Outside of work, I spend time woodworking, where the same principles apply. Precision matters, and every piece must fit or the system fails.
Multi-entity platform design, data model evolution, schema governance, and shared infrastructure with entity-level isolation controls.
Translating complex operational processes into deterministic system states, routing logic, and compliant automation workflows.
Institutional-grade reporting, actuarial modeling, and data infrastructure relied upon by executives, investors, and lending partners.
LLM-powered workflow automation, compliance guardrails, human-in-the-loop escalation design, and performance monitoring frameworks.
Co-developing localized property sales probability curves from raw transaction data and building the data infrastructure that enabled institutional capital formation.
Read case study →
Designing a unified three-source monitoring platform that detected contract breaches in real time across a 40,000-property national portfolio.
Read case study →
Driving a multi-month analytical evaluation that consolidated three fragmented data vendors into a unified platform serving marketing, sales, and finance.
Read case study →
Building a multi-dimensional market intelligence framework from Census data to guide executive expansion decisions across dozens of states.
Read case study →
Designing and governing the lead segmentation infrastructure powering a 230+ agent outbound operation across 33 states with real-time compliance enforcement.
Read case study →
Operating and optimizing a real-time lead qualification engine evaluating tens of thousands of inbound leads daily across 16+ vendor integrations.
Read case study →
Defining the compliance guardrails, qualification logic, and human-in-the-loop escalation design for a customer-facing LLM deployment that replaced a salaried sales tier.
Read case study →
Collaboratively designing a multi-tenant data architecture that enabled two independent operating companies to share a single CRM platform with full data isolation.
Read case study →
Let's Talk
I'm currently exploring Senior Product Manager opportunities in platform, data systems, and operational automation -
Open to remote (nationwide) and local hybrid or onsite roles.