Senior Product Manager – Experimentation Data and Tooling
The Walt Disney Company
full-time
Posted on:
Location Type: Hybrid
Location: Seattle • New York, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $145,400 - $195,000 per year
Job Level
Senior
Tech Stack
SDLC
About 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.
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 in Computer Science, Mathematics, Economics, Business or relevant experience.
Benefits
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
product managementbig data pipelinesA/B testingdata governancedata modelingdata-driven decision-makingSDLCdata engineeringdata warehousingAgile methodologies
Soft skills
analytical thinkingstrategic thinkingproblem-solvingprioritizationinfluential leadershipcollaborationcommunicationadaptabilitycross-functional relationship buildingrisk management