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About the Role

The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, experiment, and model across Disney Entertainment & ESPN. You will own the product roadmap for strategic partner solutions and internally built capabilities, delivering world-class data collection across web, mobile, and connected devices. You will serve as the product counterpart to Data Engineering and Product Engineering teams and lead cross-organizational initiatives.

Responsibilities

Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves.
Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts.
Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on.
Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions.
Support data quality and the operating model at the source, keeping collected data reliable and auditable.
Identify the highest-leverage problems before they're defined and deliver where no established approach exists.
Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted.
Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working.

Requirements

10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline.
Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient.
Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design.
Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them.
Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments.
A track record of building new structures or capabilities in high-ambiguity, precedent-free environments.
Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations.
Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory.
Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence.
Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI.
Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting.
Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank.
Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies.
Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved.
Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input.
Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture.

Skills

Data Platform Product Management
Data Instrumentation
Platform or infrastructure product strategy
Data collection platforms
Tag management
Web data-layer
CDP-style
Enterprise data contracts
Schema registries
Governance standards
AI tools
Modern cloud data stack
SQL
Python
Data observability
Data governance
Privacy
Consent (GDPR, CCPA)

Location

New York, NY, USA
San Francisco, CA, USA
Santa Monica, CA, USA
Bristol, CT, USA

Work Type

Full time

Experience Level

Principal

Education Level

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience.

Salary/Compensations

New York City, NY: $197,400 - $264,700
San Francisco, CA: $206,400 - $276,700
Santa Monica, CA and Bristol, CT: $188,400 - $252,600

Benefits

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.

About the Company

Technology is at the heart of Disney’s past, present, and future.
Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.
We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers.
We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Disney+.
Hulu.
ESPN.
ABC.
ABC News…and many more.
Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.