Global Content Data Product Manager

ESPN; Santa Monica (CA); On-site; USD 119,000 - 160,000; Full time

Job summary

ESPN is seeking a Product Manager II for the Content Data Products team to drive execution of feature sets in the content viewership data ecosystem for Disney's media portfolio including ESPN+. You will partner with data engineers, analysts, and stakeholders to translate data signals into actionable insights.

You will own end-to-end delivery, support strategic initiatives, maintain data quality, and document data dictionaries.

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 translate requirements into MVPs and iterations.
• Strong written and verbal communication for diverse audiences.

Responsibilities

• Lead end-to-end delivery of specific feature sets for content data products.
• Support senior PMs on large-scale initiatives.
• Serve as primary point of contact for stakeholder inquiries.
• Create and maintain product documentation such as data dictionaries.
• Collaborate with data analysts and business leaders to elicit requirements.
• Monitor data product health and coordinate with DRE to resolve data incidents.
• Work with Engineering, Data Science, and Governance to ensure reliability.

Skills

Product management

Big Data

SQL

Agile / Scrum

Stakeholder communication

Education

Bachelor’s degree or equivalent work experience

Tools

Tableau

Looker

Snowflake

Databricks

Airflow

Job description

ESPN is seeking a Product Manager II for the Content Data Products team to drive execution of feature sets in the content viewership data ecosystem for Disney's media portfolio including ESPN+. You will partner with data engineers, analysts, and stakeholders to translate data signals into actionable insights.

You will own end-to-end delivery, support strategic initiatives, maintain data quality, and document data dictionaries.