Product manager at heart. Program leader by foundation. I work across Product, Engineering, Data, and Operations to turn ambiguous problems into clear products, operating models, and execution systems teams can actually use.
Product discovery, AI-enabled workflows, and enterprise technical delivery — each approached by making the underlying system easier to understand and operate.
Finding what high-performing support teams did differently, translating tacit knowledge into a shared workflow, and treating adoption as part of the product.
Redesigning model creation, labeling, correction, evaluation, and human-in-the-loop workflows across Product, Engineering, Data Science, QA, and Operations.
Creating portfolio visibility across interconnected enterprise technology initiatives, shared resources, vendors, systems, risks, and dependencies.
The methods change with the problem. These principles generally don't.
Understand why something is needed before deciding what to build.
Metrics tell you where to look. Observation and conversation often tell you why.
Solve today's problem while understanding where the capability needs to go next.
Good program management should reduce coordination overhead, not create more of it.
Adoption, behavior, performance, and feedback determine whether something actually worked.
Austin-based. Interested in difficult product, platform, operations, and transformation problems where technical systems and human systems have to work together.