Decision Science Product Manager - Media Analytics

The Walt Disney Company
Apply Now

Job Description

The Decision Science Product team leverages technology, data analytics, optimization, statistical and econometric modeling to identify opportunities to inform business decisions and drive value for our internal business partners. The team works to understand our partners’ business problems, workflows, technical systems, and data to deliver products ranging from straight-forward analytics insights to complex, fully-integrated analytics solutions.

The Decision Science Product team resides within the Disney Decision Science + Integration (DDSI) organization. DDSI provides internal consulting services for clients across The Walt Disney Company. 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.

The successful candidate will be data-driven and business-minded, and will be passionate about solving business questions through data analysis. In this position, you will transform data into meaningful business insights. The role will include working with analytically minded peers, where you are expected to contribute to and challenge the current knowledgebase. You will lead improvements of existing solutions or development of new solutions by scoping, implementing, and testing these solutions in order to address business problems. You should enjoy connecting with clients to brainstorm ways to better support business decisions, being a thought leader in analytical settings, building data visualization dashboards, and managing and improving software systems.

Responsibilities:

  • ??????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 opportunities, be accountable for integrating these concepts into real-world business processes, and drive the roadmap for ongoing operational updates and sustainment.
  • Lead operational integration of analytic processes, work with executive partners to define new use cases, and support on-going usage and interpretation of advanced science within developed analytical applications.
  • Be a problem solver; when presented with new challenges, you are expected to research and network to find solutions.
  • Be a hands-on project lead who works with SQL/Python to extract data for analysis, evaluate experiments and seek out answers to business problems, and look for opportunities to automate processes.
  • Proactively communicate with technical and non-technical stakeholders, seek to learn and understand, and potentially challenge existing processes in order to continuously seek improved efficiencies.
  • Serve as a product evangelist and subject matter expert to the technical/developer teams.
  • Facilitate the creation and maintenance of proper product documentation.

Basic Qualifications:

  • Minimum 3 years of progressively complex experience in building and maintaining data science processes
  • Demonstrated excellent written and verbal communication skills
  • Demonstrated excellent interpersonal skills, including ability to partner with others and build consensus in a cross-functional team toward a desired outcome
  • Ability to effectively communicate and translate the languages of analytics and business applications
  • Demonstrated capabilities in performing exploratory analytics
  • Ability to work both independently and as part of a collaborative team
  • Ability to manage multiple priorities and adapt to rapidly changing business environment
  • 3+ years of experience and proficiency in Python, SQL (or similar programming languages)
  • Proficient in a variety of data science methods, scalable infrastructure setup, software development, and system architecture
  • Recognizes potential business development opportunities
  • Ability to craft client presentations and lead presentations to executive leadership
  • Skilled at project management and delivery

Preferred Qualifications:

  • 4+ years of experience in technical product management role
  • 4+ years of experience and proficiency in Python, SQL (or similar programming languages)
  • Experience with the media industry, especially television and streaming
  • Experience with internal or external consulting
  • Familiarity with Nielsen and other video measurement solutions
  • Familiarity with full stack development
  • Strong understanding of advanced analytical methods
  • Experience developing short- and long-term product roadmaps for implementation and sustainment
  • Proficiency in automating existing processes
  • Knowledge of machine learning methods

Required Education

  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Finance, Economics, Data Mining, Analytics, or other quantitative field

Preferred Education

  • Master's Degree preferred

This role is considered hybrid, which means the employee will work a portion of their time on-site from a Company designated location and the remainder of their time remotely.

Company Info.

The Walt Disney Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started! Disney Streaming Services is a business unit within Disney’s Direct-to-Consumer and International (DTCI) segment that oversees all consumer

Get Similar Jobs In Your Inbox

The Walt Disney Company is currently hiring Product Manager, Decision Science Jobs in Orlando, FL, USA with average base salary of $120,000 - $190,000 / Year.

Similar Jobs View More