Executive Director, Data Science

Job ID 10141575 Location New York, New York, United States / Santa Monica, California, United States / San Francisco, California, United States Business Disney Direct to Consumer Date posted Feb. 12, 2026

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Job Summary:

Job Summary

Data Intelligence and Analytics (DnA) plays a crucial role at the center of the Disney Entertainment Direct to Consumer (DTC) business, supporting functions and teams with analytics and data science to help drive the streaming businesses forward. We are seeking a senior leader to provide technical and execution-focused leadership to the Data Science team within DnA in the development of complex models that support business needs for Disney Streaming.

This role supports our broad range of streaming services (Disney+, Hulu, ESPN DTC) globally across domains and functions including operations, marketing, product & technology, content & programming, subscription & retention. Your primary responsibilities will include the development and implementation of predictive machine learning and AI models, specifically focusing on propensity models, time series forecasting, and next best offer/action decisioning logic.

Responsibilities

Execution Leadership & Project Management

Build and lead a team of Data Scientists that inform, influence, and support business priorities across projects and platforms using data to validate hypotheses and provide effectiveness/efficiency solutions.
Manage the execution of the project roadmap, ensuring project delivery is in-line with business objectives and key results.
Approach model and project development from a client-focused process including needs assessment, requirements gathering, prototyping, UAT and partner engagement.
Proactively identify opportunities that can benefit from data science modeling and AI applications and manage the execution and implementation for impact.

Stakeholder Management

Work effectively across multiple business units with numerous stakeholders to deliver advanced analytics and modeling solutions.
Foster a culture of collaboration by developing cross functional partnerships with business units to ensure impactful, positive business outcomes are prioritized.
Function as an expert and collaborate with the team to assess how models and methods can be adjusted for better predictive power and accuracy.
Demonstrate outstanding interpersonal skills, including the ability to partner with others and to lead multiple teams in a rapidly changing environment.

Technical Implementation (Propensity, Forecasting & Decisioning)

Lead the development of our predictive algorithms and machine learning applications across different areas with the aim of helping our stakeholders execute better, smarter and faster.
Design and implement scalable frameworks for Next Best Action/Offer (NBA/NBO) decisioning, connecting propensity scores to optimal customer interventions.
Continuously improve existing and architect and prototype new models, working with data science and cross-functional engineering teams to operationalize models into production.

Qualifications

Bachelor’s degree in advanced mathematics, Statistics, Data Science or comparable field of study
12+ years of related professional experience
Demonstrated financial impact via data science applications.
Deep knowledge of machine learning algorithms and advanced statistics, specifically time series forecasting, probabilistic models, and decisioning/optimization algorithms.
Experience with statistical / ML platforms and modern data ecosystems (e.g., Python, R, Databricks, Spark, PyTorch).
Experience with forecasting business metrics, leading indicators and feature importance.
Experience making complex and broad predictions based on a vast amount of past and/or present data through the development of statistical and/or machine learning models.
Strong analytical and problem-solving skills to interpret data and draw conclusions.
Outstanding business acumen, collaborative approach and client orientation in addition to strong technical skills.
Strong ability to simplify complex analytics into understandable stories and clear recommendations that are easily understood and executable.

Preferred Qualifications

Graduate degree in Information Management, Computer Science, Statistics, Mathematics, Engineering or equivalent professional experience.
12+ years of related professional experience and graduate-level academic training that includes coursework in relevant areas of science, data science, computer science or mathematics (including but not limited to statistics and probability).
Deep knowledge of the streaming landscape and experience working in media and entertainment and subscription businesses.

#DISNEYANALYTICS

#DISNEYTECH

The hiring range for this position in New York is $263,900 - $353,900 per year, in Santa Monica is $251,900 - $337,800 per year and in San Francisco is $275,900 - $370,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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About Disney Direct to Consumer:

Disney’s Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer.

Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

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