Senior Product Manager

Disney’s Product Management Team is seeking a Sr. Product Manager, Content Data Products who will be an exceptional addition to our Content Data Products Team. This team is responsible for ideating, developing, and managing Data products focused on maximizing the value of Disney’s Content Asset Portfolio across all our distribution channels, including Subscription & Ad Supported Streaming, Cable and Broadcast. In this role, you will partner with a wide cross section of stakeholder groups who are interested in developing Content Performance insights - including Data Engineers, Data Analysts and Data Scientists to Financial analysts and Content Programming executives. Content Viewership Data, Engagement Metrics Development, Content Metadata Management and Business Stakeholder enablement are some of the key day-to-day functions this role is responsible for across brands like Disney+, Hulu, ESPN+, STAR+, Marvel Studios, ABC News etc. The ideal candidate has deep familiarity with the data warehousing solutions, data processing pipelines, analytics platforms and BI Tooling approaches from a product management perspective. The candidate will be required to then layer on deep business domain knowledge required to develop strong partnerships with Analysts and Business teams that use the Content Data Insights on a daily basis. This role requires the ability to work in an incredibly fast-paced and constantly changing environment. The right candidate will need an exceptional ability to navigate complex organizational structure, develop fantastic relationships with stakeholders across a diverse set of functional roles and quickly get up to speed on complex data pipelines and platforms. If you love working at the intersection Technology, Data and Media & Entertainment, this is a phenomenal opportunity! Responsibilities Develop deep understanding of the application/use of Content Data insights and elicit requirements from Data Analysts and Business leaders, transforming these insights into Product roadmaps with executable projects. Create and manage core product documentation including Business Case Proposals, Data Flow diagrams, Data Dictionaries, Build vs Buy Recommendations, User Stories, UAT preparedness etc. Manage day-to-day Product Management activities related to multiple scrum teams, including backlog refinement, prioritization of short term/long term business needs, product/feature launch communications, user onboarding and training. Act as a Data strategist and subject matter expert for Content Data sets and seamlessly navigate every layer of the Data stack to identify opportunities where data can be leveraged for insights. Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, cost effective Data solutions. Ability to identify risks, resolve key blockers, and establish appropriate resolution paths across a matrix organization with inter-dependent roadmaps and priorities. Ability to fill in gaps across roles and functions as needed, performing as an adaptive problem solver. Ability to champion a collaborative work environment that cultivates shared understanding, transparency, autonomy, innovation, and continuous learning. Basic Qualifications Minimum of 5 years of product management experience with strong focus on building and delivering successful data products, services and capabilities. Bachelor’s degree and/or equivalent work expereince. Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stack. Experience balancing new product development with maintaining day-to-day data reporting operations in a very large-scale enterprise set up. Experience utilizing both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem-solving. Generally: the ability to plan for what analysts and data scientists need to deliver. Planning acumen and proven ability to break down work, define an MVP, as well as subsequent iterations and track feature adoption to inform roadmap development. Experience demonstrating leadership, self-motivation, accountability with strong technical, strategic and problem-solving skills to drive change in a large matrix organization. Preferred Qualifications Master’s degree in computer science, MBA, etc.. Experience with Media or Entertainment Industry Data sets (Examples include Video Content Metadata, Box Office Performance, Nielsen Ratings etc.) Experience with data visualization and BI reporting tools (Tableau, Looker, Microstrategy etc.) coupled with strong storytelling skills for technical and non-technical audiences. Experience or knowledge of basic programming (SQL, R, Python) and Data management technologies (Hadoop, Spark, Kafka, MongoDB, Redis, Couchbase, AirFlow, MySQL etc.) The hiring range for this position in Santa Monica, California is $136,100 to $182,400 per year, in Seattle, Washington is $142,600 to $191,100 per year, in New York, NY is $142,600 to $191,100 per year. and in San Francisco, California is $148,000 to $198,000 per year The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. 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. #J-18808-Ljbffr