The job is turning data a company already owns into something it can sell. LinkedIn has the titles. This page has what I built in them and how each build works.
Two of the three builds below started with data a company already owned and had never sold. The third started with a deadline.
A client commissioned me to solve one problem, and it turned into a product that’s still running.
idea to prototype: 4 weeks · prototype code: mine · status: live
Warehouse connects retailer data to a brand’s first-party data and builds pseudonymous segments: shoppers who have bought the product, and shoppers who are in market for it. Those segments are activated as targeting audiences. Scaling it from one client’s prototype into a product was the harder build.
I built the framework that lets a brand and a retailer work on each other’s data without either one handing it over.
A data clean room lets a brand and a retailer match first-party data sets and query the overlap under agreed rules, so neither side sees the other’s row-level records. The framework sets the match keys and the queries each side is allowed to run.
Save Pub Life launched as a working marketplace in three weeks.
B2B2C marketplace · live in 3 weeks · 500+ pubs at launch
A B2B2C marketplace serves two sets of customers through one platform: the pubs as trade customers, and the people who buy from those pubs. Both sides had to be live at launch.
Independent
2026 to now
Navigator
2025 to 2026
Chief Product and Technology Officer
Publicis Media
2024 to 2025
Global Head of Data and Measurement
2020 to 2024
VP, Product Development
AB InBev
2020
Head of Data, Europe
Coty
2018 to 2019
Global VP, Digital Commerce Data Products and Analytics
2016 to 2018
Director, Global Data Strategy
2026
2021
2021
Or write to kristina@kristinakaganer.com