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Lead Product Manager – Disney Cruise Line Data Strategy
Job in
Celebration, Osceola County, Florida, USA
Listed on 2026-05-18
Listing for:
The Walt Disney Company
Full Time
position Listed on 2026-05-18
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
At Disney Experiences Technology, our team creates world-class immersive and digital experiences for the Company’s vacation brands, Disney’s Parks and Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the My Disney Experience app and Hey, Disney!
WhatYou’ll Do Data Product Definition & Lifecycle Management
- Own the end-to-end lifecycle of assigned Commerce data products.
- Lead detailed data requirements definition, translating business needs into clear product specifications.
- Manage discovery, modeling, documentation, delivery, adoption, and sustainment activities.
- Conduct data profiling, quality assessments, and definition of data rules and logic.
- Partner closely with data engineers, architects, and analytics teams to deliver scalable solutions.
- Serve as the primary product interface for business stakeholders.
- Drive user adoption through engagement tracking, feedback, and continuous iteration.
- A minimum of 7 years of experience managing the end-to-end lifecycle of data products.
- Hands‑on experience defining data requirements, data models, and documentation.
- Working knowledge of SQL, data warehouses, and cloud-based data platforms.
- Strong stakeholder management and communication skills.
- Experience working in agile, cross-functional teams.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Finance, or a related field, or equivalent experience.
- Experience with dimensional modeling and modern data architectures.
- Experience supporting commercial analytics use cases.
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