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Decision Science Product Manager presso None

None · Lake Buena Vista, Stati Uniti d'America · Onsite

152.200,00 USD  -  204.100,00 USD

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Job Posting Title:

Decision Science Product Manager

Req ID:

10130845

Job Description:

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Disney Decision Science & Integration (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.

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

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

  • 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

  • Direct experience operationalizing, developing and managing machine learning products

  • 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 Nielsen, 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

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

#DISNEYTECH

#DisneyAnalytics 

The hiring range for this position in Burbank, CA is $ 152,200 to $204,100 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Corporate Strategy

Job Posting Primary Business:

Decision Science & Integration

Primary Job Posting Category:

Project Management Tech

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Lake Buena Vista, FL, USA

Alternate City, State, Region, Postal Code:

USA - CA - 820 S Flower St

Date Posted:

2025-09-08
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