Ally Tubis

Sr Director of Retention Analytics at Disney Streaming Services

Ally is a data leader who is invested in building data driven cultures to make data accessible and integrated. Her life’s work has been devoted to driving innovation, shaping growth strategies and optimizing user experience through data. She believes the human element is critical as a data leader, from hiring to modeling to storytelling so the data can be actionable and digestible.

Currently, she leads the insights team under Customer Modeling for Disney Streaming Services focused on retaining and engaging ESPN+, Disney+ and Bundle (incl. Hulu) subscribers. In her previous role, she paved new roads to understanding audience behavior to build a data driven strategy across the digital businesses at Univision, Gizmodo Media Group and Story House Entertainment. She has a proven track record of re-imagining the role of data to provide insights that influence growth initiatives while growing engagement and ensuring that all voices and stakeholders are heard.

Ally is passionate about learning and has taught at Columbia University both in Economics and on data in the newsroom. She’s an active member in the data science community in New York, and has spoken with Women in Big Data Panel with Disney, General Assembly, NYC Media Lab, keynote at SpeakHer, Digital Content Expo in Berlin and others. She’s an advocate for diversity and inclusion and moderates the Own Your Voice women’s circle at Disney.

WATCH LIVE: September 24 @ 12:40PM – 1:10PM ET

Performance through Representation in Data: Adding the human element from hiring to modeling

In a data role, one of our main objectives is to build efficient models and ensure that the recommendations from modeling efforts are as accurate or interpretable as possible. In my talk, I’ll introduce a framework that every leader/data contributor can follow and discuss a modeling approach and critical junctions in the modeling process to ensure models are less biased and performant. I’ll talk about what has made me and my data teams most effective based on all of my experience as an analyst, decision scientist and data leader. It all comes down to adding the human element.