Senior Product Manager

About

Technology is at the heart of Disney’s past, present, and future. 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.

Commerce, Data & Identity provides the core product management functions for areas crucial to Disney’s media businesses, including initiatives and products that power digital commerce, identity, and growth, as well as messaging, privacy, data engineering, science, and related products for Disney Entertainment & ESPN.

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 by partnering with stakeholders to define clear requirements and acceptance criteria, prioritize work, and remove business‑related roadblocks.
• Oversee the management, integration, and planning of data processes with upstream and downstream partner teams, ensuring seamless data flow for timely decision‑making.
• Partner with engineering to architect and deploy robust data pipelines that process experimental data with high efficiency and minimal latency; develop and integrate APIs for near real‑time experiment results; design advanced analytical tools for experiment analysis and outcome visualization.
• Drive awareness and engagement by delivering timely communications and targeted presentations that highlight feature launches and 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 mitigation strategies.
• Establish a collaborative work environment that fosters shared understanding, transparency, autonomy, innovation, and continuous knowledge acquisition through systematic methodologies and measurable performance indicators.

Required Qualifications

• 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 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 in Computer Science, Mathematics, Economics, Business, or relevant experience.