Content Data Product Manager II

Disney Entertainment and ESPN Product & Technology Careers; Santa Monica (CA); On-site; USD 119,000 - 160,000; Full time

Job summary

Disney Entertainment and ESPN Product & Technology Careers is seeking a Product Manager II to focus on content viewership data ecosystem features for Disney+, Hulu, and ESPN+. You will partner with data engineers, analysts, and business stakeholders to translate data signals into actionable insights.

You will lead cross-functional delivery, ensure data quality, and document product features while collaborating with Engineering, Data Science, and Governance teams to meet business needs.

Qualifications

• Minimum of 3+ years of product management experience in data platforms or analytics-heavy roles.
• Bachelor’s degree or equivalent work experience.
• Foundational understanding of Big Data ecosystems and SQL.
• Ability to break down work into MVPs and iterations.
• Strong written and verbal communication for diverse audiences.

Responsibilities

• Lead end-to-end delivery of specific feature sets with backlog refinement and user stories.
• Support senior PMs on large-scale initiatives.
• Be the primary contact for routine stakeholder inquiries and data quality triage.
• Create and maintain data product documentation and data dictionaries.
• Elicit requirements with analysts and business leaders for minor enhancements.
• Coordinate with Data Reliability Engineering to monitor data quality and backfills.
• Collaborate cross-functionally with Engineering, Data Science, and Governance teams.

Skills

Product management experience

SQL

Big Data

Communication

Data platforms

Education

Bachelor's degree or equivalent work experience

Tools

Tableau

Looker

Snowflake

Databricks

Airflow

Job description

Disney Entertainment and ESPN Product & Technology Careers is seeking a Product Manager II to focus on content viewership data ecosystem features for Disney+, Hulu, and ESPN+. You will partner with data engineers, analysts, and business stakeholders to translate data signals into actionable insights.

You will lead cross-functional delivery, ensure data quality, and document product features while collaborating with Engineering, Data Science, and Governance teams to meet business needs.