We're looking for people who build the data, models, and systems that teams, and increasingly AI, rely on: setting up pipelines, shaping raw data into something usable, defining the metrics and business logic that teams share, and getting data ready so reports, applications, and AI can work with it correctly. In the session, we'll talk about how this works in your world: what you build and who depends on it, how you keep the meaning behind the data consistent across teams and systems, and what it takes for you to trust that an AI or agent will give the right answer.
Your perspective will help shape how future data and AI tools can better support the people who build what everything else depends on.
The researcher may follow up via message, email, or phone to confirm if you're a fit for the study. Be sure to answer!