
Senior Product Manager – Content Viewership Data
The Walt Disney Company
full-time
Posted on:
Location Type: Hybrid
Location: Santa Monica • California • United States
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Salary
💰 $155,700 - $208,700 per year
Job Level
Tech Stack
About the role
- Become the institutional expert on how content data is used, interpreted, and acted upon - translating the nuanced needs of analysts and business leaders into product roadmaps that deliver measurable impact.
- Leverage AI tools and automation to accelerate product delivery, enhance data quality, and surface insights faster - actively championing AI adoption across the team.
- Own core product documentation including business case proposals, product memos, data flow diagrams, data dictionaries, build vs. buy recommendations, user stories, and UAT preparedness, ensuring every artifact drives alignment, accelerates decisions, and leaves no room for ambiguity.
- Partner across the full data organization - Analytics, Data Science, Engineering, Architecture, Governance, and Program Management to deliver cost-effective, high-impact data solutions at scale.
- Ensure Content Data Products are positioned within the broader context of enterprise data architecture, analytics modernization, and AI-driven transformation.
- Drive multiple scrum teams end-to-end: backlog refinement, prioritization of short and long-term business needs, product and feature launch communications, and user onboarding.
Requirements
- Minimum of 7+ years of product management experience with strong focus on building and delivering successful data products, services and capabilities.
- Bachelor’s degree in a relevant field required, such as Engineering, Math, Science, Economics, etc.
- Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stack.
- Experience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set up.
- Experience utilizing both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem-solving.
- Generally: the ability to plan for what analysts and data scientists need to deliver.
- Experience demonstrating leadership, self-motivation, accountability with strong technical, strategic and problem-solving skills to drive change in a large matrix organization.
- Hands-on experience using AI tools to accelerate product work, with the intellectual curiosity and adaptability to continuously learn and experiment as new frameworks emerge.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package.
- Full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product managementdata productsBig Data ecosystemsCloud technologyOn-Prem technologyHybrid Data tech stackqualitative analysisquantitative analysisdata science modelsscrum methodologies
Soft Skills
leadershipself-motivationaccountabilitystrategic thinkingproblem-solvingcommunicationcollaborationadaptabilityintellectual curiosityplanning