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.
- Next Best Ask (live tool): a policy service that picks one ask per reader, per visit, for a reader-supported newsroom, and shows the reason. Pick a reader and see what they would get.
- Growth Room (live tool): four models review a reader revenue question, two try to break the answer, and a person decides.
- Push Observatory (live tool): every major news app's push alerts, captured from one device and clustered by story, so you can see who went first, how long the rest took, and what the copy said.
- Alert Desk (live tool): a rundown for newsroom push that shows what each alert would do to the audience before it is sent, and keeps a log of every send, hold, and suppress.
- AI Share of Voice (live tool): which outlets AI assistants cite on the day's top stories, and whether they link.
- 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