Senior Product Manager - Experimentation Data and Tooling

Walt Disney Co.•Seattle, WA

38d

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.