Shir Meir Lador is a data science group manager at Intuit, based in Mountain View, California. Her team develops machine learning and deep learning models for document intelligence, powering products used by millions of people, such as TurboTax and QuickBooks.

Shir is a frequent voice on data science management and agile machine learning. She champions practices that turn experimental ML work into reliable products: two-week sprints and exploration sprints, design stories and grooming, and pre- and post-debriefs inspired by military pilot training. She also emphasizes rapid experimentation to mitigate data risk and measuring what matters, combining business impact metrics, A/B testing, and customer-focused KPIs with people metrics such as pulse surveys, manager scores, and skip-level feedback.

Through her work and talks, Shir helps managers and technical leads build high-performing data science teams, align goals across functions, and create cultures of continuous improvement and innovation with practices like hackathons and paper clubs.