Data Product Mgr

As a Data Product Manager at Disney Experiences, you will play an important role in supporting the lifecycle of our data products. You will begin building your expertise at the intersection of business partnership and data — learning to translate stakeholder needs into clear data product requirements and working alongside Data Product Engineers to help bring those requirements to life. This role is designed for a curious, detail-oriented individual who is eager to grow their product management skills within a modern, cloud-native data environment. You will develop familiarity with platforms like Snowflake and dbt, contribute to requirements, support user acceptance testing, and help drive adoption of data products across internal business teams. This role is for someone who wants to grow into a data product leader and is excited to learn what it means to treat data as a product. Responsibilities • Business Partnership & Discovery: Support requirements gathering by engaging with business stakeholders to understand their data needs, pain points, and priorities. Assist in documenting stakeholder interviews, capturing use cases, and identifying opportunities where data products can deliver value. Contribute to maintaining an organized backlog of data product requests and enhancement ideas. • Data Product Requirements Assist in translating business needs into data product requirements, user stories, and acceptance criteria. Work with senior product managers and Data Product Engineers to refine requirements and ensure they are clear, complete, and actionable. Help maintain data product documentation including use case descriptions, field definitions, and expected outputs. • Cross-Functional Collaboration: Work alongside Data Product Engineers, Data Architects, and senior product managers to support the delivery of data products. Participate in sprint ceremonies, backlog refinement sessions, and cross-functional syncs to stay aligned on progress and priorities. Develop your understanding of the technical stack — including Snowflake schemas, dbt transformations, and AWS data services — through regular collaboration with engineering teams. • User Acceptance & Adoption…