Hybrid Senior Product Manager II – Subscriber Data

at The Walt Disney Company

• Job title: Senior Product Manager II – Subscriber Data
• Job type: Full Time
• Experience level: Senior
• Salary: $152,200 - $204,100 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Amazon Redshift, Kafka
• Location requirements: Hybrid, Santa Monica, United States

About the role

• Senior Product Manager II managing core subscriber data products within Disney's Commerce, Data & Identity team. Collaborating with cross-functional teams to drive growth and monetization through data solutions.

Responsibilities

• Own and define the vision, strategy, and roadmap, ensuring alignment with business goals and regulatory requirements
• Collaborate cross-functionally with Engineering, Data Architecture, Data Analytics, Privacy, Governance, and Business Teams to build scalable, compliant, and highly available data products
• Oversee stakeholder engagement, prioritizing intake requests, defining requirements, and ensuring timely, compliant data delivery
• Develop and maintain clear product documentation, including detailed product briefs, roadmaps, and success metrics
• Identify and mitigate risks, addressing key blockers and dependencies across teams
• Champion data governance and privacy compliance, ensuring adherence to evolving regulatory landscapes while maintaining business agility

Requirements

• 7+ years of experience in data product management, platform development, data engineering, or related fields
• Proven ability to manage cross-functional engineering teams and vendor relationships
• Ability to translate complex business needs into clear technical requirements and deliver scalable, high-impact data solutions
• Strong analytical mindset with the ability to measure success through data-driven insights
• Bachelor's degree required
• Undergraduate Degree in Engineering, Math, Science, Economics, or equivalent
• Advance CS degree or MBA is a plus
• Shown experience in video streaming, OTT, and subscription based services
• Experience working with data ingestion APIs, warehouse infrastructure, and data sharing technologies
• Familiarity with B2B2C partnerships or commerce/growth product
• Familiarity with big data storage, processing technologies, and modeling techniques (Druid, Kafka, Snowflake, Redshift, star schema, OLAP, etc.

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.