Product leader building products, data systems, and teams.
I lead work across growth, customer data, experimentation, consumer products, and monetization. I also build working tools to explore how AI can help people make better decisions while keeping evidence, uncertainty, and human judgment visible.
I currently lead a product data and growth team at The Associated Press, working across registration, reader revenue, conversion, lifecycle engagement, and customer insight.
- Plumb: a live product for seeing how AI systems access, cite, and reuse publisher work.
- Human Review Lab (live tool): a review desk for checking AI outputs against source material before they reach a customer or teammate.
- Data Contract Studio (live tool): a shared workspace for agreeing on event meaning, ownership, privacy, and validation before implementation.
- Customer Signal Loop (live tool): a feedback desk that keeps the original note, its context, and the product decision together.
- Current projects: working tools, product questions, and what I am learning next.
- Analytics Intelligence: checks for broken tracking and unusual growth patterns, with evidence for the next investigation.
- Product Decision Room: a workspace for separating evidence, assumptions, and choices before a decision review.
- AI Signal Radar: source-grounded signal triage with confidence labels and human review.
- Growth Experiment OS: a tool for comparing experiments with assumptions, metrics, and risk visible.
Earlier in my career, I built subscription, audience, and consumer-revenue products at The Atlantic, The New York Times, and NBC News Digital. That experience is the operating foundation behind the tools above.
Product strategy · growth · customer data · experimentation · consumer products · monetization · AI-assisted workflows · team leadership