Decision Science Product Manager

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.

DDSI seeks forward-thinking team members who are passionate about learning our client businesses, forming relationships with business leaders, and driving value through the tactical and strategic use of data and analytics. The work requires an analytical approach, hands-on experience in data and programming, and a natural gift for communicating and presenting complex analytical findings. Strong candidates are those with the right balance of technical and business skills that are critical for successful execution of analytics to drive business values.

What You 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 to meet those requirements, test implementations, lead user training, and measure ongoing performance of the solutions.

Proactively connect with technical and non-technical partners, seek to learn and understand, and potentially challenge existing processes in order to continuously seek improved efficiencies.

Own the vision for analytical systems, be accountable for integrating these systems into real-world business processes, and construct the consolidated product roadmap for future ongoing evolution of these systems.

Lead projects that drive value, improve business efficiencies, or guide strategy development.

Build end to end data solution prototypes using different technical tools such as SQL, Python/R, Tableau and others

Read and understand complex operational machine learning product source code to document, develop and guide on-going data driven product development efforts

Be a hands-on project lead who works with SQL, Python, and visualization tools like Tableau to extract data for analysis, seek out answers to business problems, and builds automations for efficiency and new functionality.

Be a problem solver; when presented with new challenges, you are encouraged to research and network to find solutions.

Required Qualifications & Skills

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 and/or large amounts of data

Demonstrated interpersonal skills, including ability to partner with technical and non-technical teams and build consensus toward a desired outcome

Experience in gaining deep understanding of multiple lines of business with expertise in multiple functional areas

Ability to drive projects forward along timeline and product roadmap independently with minimal oversight, adapting to changing client priorities, business conditions, and technical challenges

Proficient in a variety of data science methods, scalable infrastructure setup, and software development, plus a basic understanding of system design / architecture

Recognizes potential business development opportunities

Preferred Qualifications

Experience with the 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

Education

Required

Education:

Bachelor’s degree and/or equivalent work experience

Preferred Education:

Bachelor’s degree in Statistics, Mathematics,…