Data & analytics leader · Portland, OR
I care about how information lands.
Who's reading it, what they need from it, and the call it changes. For over a decade I've built and led analytics teams at high-growth consumer businesses. I measure success by whether the work changes a decision.
I build and lead data teams, and I stay in the analysis myself. At Dutch I built the function from zero for a 600K-member subscription business: the team, the Snowflake, dbt and Sigma stack, and the metric framework behind revenue, retention, LTV, unit economics and fulfillment. I own the Series C data room with the CEO and CFO, and I still run the high-stakes deep dives, from pricing and unit economics to fulfillment cost and margin.
Right now I'm focused on what happens when you pair strong BI foundations with AI. I built Dash, a Snowflake Cortex agent that brings self-serve analytics into Slack, answering questions over governed metrics. It reached 90% company-wide adoption within six days. The dashboard is rarely what lasts in this work; the system behind it is.
I care most about data owned as a product and a platform: the semantic layer, the metrics people trust, the alerting when something breaks, and the way people actually ask their questions.
What I've built
Dash: an AI data analyst the whole company trusts
A Slack bot that answers plain-language data questions over a governed semantic layer, and the evaluation system that makes its answers trustworthy enough for the whole company to run on.
Read the case study
Dutch's data revolution
Sigma's customer story on how Dutch moved from dashboards-on-dashboards to self-serve analytics, shifting the team from 70% report-building to 70% analysis.
Read on sigmacomputing.comThe calls I ran myself
Leading the team hasn't meant leaving the data. These are analyses I owned personally, each one changing what the business did next.
Quantified avoidable split-shipment fulfillment cost and gave operations a fix they could act on.
Modeled a proposed 2-day shipping tier and prevented the margin loss before it launched.
Found fulfillment and refund savings across the operation.
Surfaced a legislative revenue risk during Series C diligence before it reached the board.
Built and lead the analytics function for a 600K-member subscription business. Own company-wide metric governance and the unit economics, pricing and fulfillment models behind growth and board decisions, and stay hands-on with the high-stakes analysis. Built the Cortex self-serve platform in the case study above.
Led enterprise analytics builds for Nike (the supply-chain KPI framework for Global Marketplace Operations through COVID), Providence Health Plan (Tableau and Redshift reporting for 1,000+ providers with row-level security) and PGE (self-service reporting).
Built the analytics function from scratch, drove a 58-point NPS lift, and raised dashboard adoption from 15% to 75%.
Marketing, project management and consumer-research roles across fashion and media.