Decision Science Product Manager
Listed on 2025-12-18
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IT/Tech
Data Analyst, Data Scientist
Descrição do cargo
The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data‑driven decision‑making.
WhatYou Will Do
- Act as a company‑wide consultant leveraging advanced analytics and complex science models to solve business problems.
- Identify business problems, lead system requirements gathering, design and develop solutions in partnership with the business, test implementations, lead user training, and measure ongoing performance.
- Connect with technical and non‑technical partners, seek to learn and understand, and challenge existing processes to continuously improve efficiencies.
- Own the vision for analytical systems, integrate these systems into real‑world business processes, and construct the consolidated product roadmap for future evolution.
- Lead projects that drive value, improve efficiencies, or guide strategy development.
- Build end‑to‑end data solution prototypes using SQL, Python/R, Tableau and other tools.
- Read and understand complex operational machine learning product source code to document, develop and guide data‑driven product development.
- Work hands‑on with SQL, Python, and visualization tools like Tableau to extract data, seek answers, and build automations.
- Be a problem‑solver and research solutions to new challenges.
- 7+ years of progressively complex experience in analysis, analytical product management, or analytics engineering roles.
- Direct experience operationalizing, developing, and managing machine learning products.
- Proficiency with data visualization technologies such as Tableau or Power BI.
- Proficiency acquiring, validating, organizing, and manipulating complex or large amounts of data.
- Demonstrated interpersonal skills, ability to partner with technical and non‑technical teams, and build consensus.
- Experience gaining deep understanding of multiple lines of business with expertise in multiple functional areas.
- Ability to drive projects forward along timeline and product roadmap with minimal oversight.
- Proficient in data science methods, scalable infrastructure setup, software development, and basic system design/architecture.
- Recognizes potential business development opportunities.
- Experience with consumer products industry, especially games, licensed products, and/or retail.
- Experience with meta‑data management, data taxonomy design, data modeling.
- Experience with internal or external consulting.
- Experience with GenAI and agentic solution design and operation.
- Knowledge of AWS, Snowflake, and/or modern enterprise LLM platforms.
- Required
Education:
Bachelor’s degree and/or equivalent work experience. - Preferred Education: Bachelor’s degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative or scientific field, or equivalent experience;
Master’s Degree or equivalent experience.
The hiring range for this position in Burbank, CA is $155,700 to $208,700 per year. Base pay will consider internal equity and may vary by region, job‑related knowledge, skills, and experience. A bonus and/or long‑term incentive units may be provided, in addition to the full range of medical, financial, and other benefits.
Equal Employment OpportunityThe Walt Disney Company and its affiliated companies are Equal Employment Opportunity employers and welcome all job seekers, including individuals with disabilities and veterans. If you have a disability and need a reasonable accommodation to search for a job opening or apply, visit the Disney candidate disability accommodations FAQ. We will only respond to requests related to accessibility of the online application system due to a disability.
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