Decision Science Product Manager

About the Role & Team

The Disney Decision Science & Integration (DDSI) team provides internal consulting services for clients across The Walt Disney Company including Media Networks (e.g. ABC, ESPN), Studio Entertainment (e.g. The Walt Disney Studios, Disney Theatrical Group), Direct-to-Consumer & International, and Disney Experiences . The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation (and integration with business processes), and ongoing business support.

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 a combination of analytical approach with 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.

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

• 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 system requirements-gathering, design and develop solutions to meet those requirements, test implementations, lead user training, and measure ongoing performance of the solutions.

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

• Be a hands-on project lead who works with SQL, Python, and Tableau to extract data for analysis, seek out answers to business problems, and look for opportunities to automate processes.

• 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.

Required Qualifications & Skills

• 7 + years of progressively complex experience in analytical product management

• Proficiency with the following languages: SQL, Python, and/or R

• Proficiency with data visualization technologies such as Tableau, Power BI

• Proficiency acquiring, validating, organizing, and manipulating complex and/or large amounts of data

• Demonstrated interpersonal skills, including ability to partner with others and build consensus in a multi-functional team 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, software development, and system architecture plus a basic understanding of system design / architecture

• Recognizes potential business development opportunities

• Ability to seamlessly collaborate across the technical teams building consensus to work as a team

Preferred Qualifications

• Experience with the media industry, especially Nelson, television, SVOD, and film

• Experience with marketing, sales, pricing, or revenue management

• Experience with financial analytics and automation

• Experience with internal or external consulting

• Familiarity with Martech/Adtech and identity solutions (Exchanges, DSP, etc.)

• Knowledge of DataBricks, AWS, and Postgres

• Knowledge of machine learning methods

Education

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 field, or equivalent experience.

• Master's Degree or equivalent experience