Senior Data Product Manager II

1 day ago

New York, New York, United States Hulu Full time
Job Summary

Disney Entertainment and ESPN Technology is seeking a Senior Data Product Manager II within its Commerce, Growth and Identity (CGI) organization. In this role, you will deliver data products and solutions for the Acquisition Marketing vertical of Disney Streaming.

Responsibilities
  • Collaborating with the Senior Manager of the Acquisition Marketing Data Product Management team to define and execute an overall strategy.
  • Take on global vendor integrations, develop measurement plans and build measurement dashboard roadmap for data products and capabilities aligned to organizational and business goals.
  • Develop and maintain critical business relationships throughout the organization, ensure leaders are consistently well informed about business priorities, capabilities, timelines, issues, and releases.
  • Partner with Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Product Design, and other Technical Program Management team members to develop, test, and deliver high quality products and features.
  • Lead and drive teams on all business readiness activities, including product planning, sequencing, testing, user education, rollout, iteration, and support.
  • Develop detailed product requirements, user stories, acceptance criteria, and success measures.
  • Identify risks, resolve key blockers, and establish appropriate resolution paths.
  • Champion a collaborative work environment that cultivates shared understanding, transparency, autonomy, innovation, and continuous learning.
Requirements
  • Minimum 7+ years in product management experience with building and delivering successful data products, services and capabilities.
  • Bachelor's degree and/or equivalent work experience.
  • Knowledge and experience with marketing technology, web technologies, and data management technology in support of marketing/advertising (Datorama, Facebook, Google, Ad campaign management, web tagging, mobile SDKs & ID tracking etc)
  • Planning acumen and proven ability to break down work and define an MVP, as well as subsequent iterations
  • Strong SQL skills for data manipulation and query execution
  • Proven track record of implementing data quality processes in large organizations
  • Highly analytical and collaborative qualities with strong technical, strategic and problem-solving skills
  • Experience working directly with data engineering teams, managing roadmaps, and communicating technical information to executives
  • Experience solving problems in an ambiguous environment with constant change
  • Ability to thrive in a dynamic and fast-paced operational environment where change is constant

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