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Disney • Mcallen, TX, US
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Senior Product Manager - Experimentation

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more all working to build and advance the technological backbone for Disney's media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you'd love working here :

Building the future of Disney's media : Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact : More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC Newsand many more. These products and brands and the unmatched stories, storytellers, and events they carry matter to millions of people globally. Innovation : We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Commerce, Data & Identity provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.

Job Summary :

Disney Entertainment and ESPN Product & Technology (DEEP&T) is seeking a dynamic and visionary Senior Product Manager to drive the product roadmap for the Experimentation Data team. Reporting directly to the Senior Manager of Data Products within the Data Platform organization, this pivotal role will spearhead the development and expansion of Disney's cutting-edge experimentation data platform within DEEP&T. This position is charged with shaping, planning, and launching groundbreaking data features that will revolutionize experimentation on Disney's media products, driving unparalleled user experiences that captivate audiences worldwide.

Responsibilities and Duties of the Role :

  • Drive the vision, strategy, and roadmap for the proprietary experimentation data platform and associated tools that support Disney Media & Entertainment streaming products (Disney+, ESPN+, Hulu) and other digital properties.
  • Create and nurture cross-functional relationships to align technology initiatives with business goals and ensure successful program delivery launches.
  • Provide product management expertise for the Experimentation Data engineering team and the products it supports by partnering with stakeholders in providing clear requirements and acceptance criteria, prioritizing work and removing any business-related roadblocks.
  • Oversee the management, integration, and planning of data processes with associated upstream and downstream partner teams, ensuring seamless data flow to support timely and informed decision-making.
  • Partner with the engineering team in architecting and deploying robust data pipelines that process experimental data with high efficiency and minimal latency. Develop and integrate APIs to deliver experiment results in near real-time, and design advanced analytical tools to enhance experiment analysis and outcome visualization.
  • Drive awareness and engagement by delivering timely communications and targeted presentations to highlight feature launches and their business impact.
  • Collaborate with cross-functional data and engineering teams to develop, test, and deliver high-quality products and features.
  • Oversee end-to-end business readiness, including planning, sequencing, testing, enablement, launch, iteration, and support.
  • Lead efforts to identify risks, resolve key blockers, and establish appropriate resolution mitigations.
  • Establish a collaborative work environment that fosters shared understanding, transparency, autonomy, innovation, and continuous knowledge acquisition through systematic methodologies and measurable performance indicators.

Required Education, Experience / Skills / Training :

  • 5+ years of product management experience delivering data products, services, and capabilities
  • Proven track record in building and optimizing big data pipelines with emphasis on A / B testing, data governance, and reporting
  • Strong understanding of big data technologies, data modeling, and data-driven decision-making
  • Experience managing complex, cross-functional initiatives with multiple stakeholders
  • Skilled in defining MVPs, planning iterative releases, and driving execution
  • Highly analytical with strong technical, strategic thinking, and problem-solving abilities
  • Effective at prioritizing in ambiguous environments and balancing competing demands
  • Experience in using AI to help improve personal and team efficiencies
  • Influential leader with experience driving alignment across organizational boundaries
  • Comfortable operating in fast-paced, dynamic environments with frequent change
  • Experienced in presenting to and collaborating with senior leadership
  • Proficient in SDLC, data engineering, data modeling, data warehousing, and big data platforms
  • Experience developing and publishing reporting solutions
  • Hands-on experience with Agile methodologies, particularly Scrum
  • Preferred Qualifications :

  • Experience using market-leading experimentation products (e.g. Amplitude, Adobe Target, LaunchDarkly, etc.)
  • Required Education :

  • Bachelor's degree Computer Science, Mathematics, Economics, Business or relevant experience
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