Associate Data Product Manager

Position Overview: NBCUniversal is looking for a detail-oriented Associate Data Product Manager. This role will contribute to the evolution of our data platform into a truly international product. Partnership with international teams and openness to the latest ideas in data technology is essential to the success of the role. Expertise in technical design in collaboration to a deep understanding of the agile development philosophy is critical. As a member of the Decision Sciences team, you will champion a Data-as-a-Product mindset. Owning, managing and supporting the data across the underlying systems and technology stack that allows the marketing and advertising team to engage customers across the workflow for all marketing activities. The successful candidate will need to be agile delivery focused and comfortable working with senior and demanding stakeholders in a fast-paced environment. Responsible for aligning with the business goals by defining requirements and enforcing an end-to-end data platform, complete with associated standard policies, compliances, security practices, and technologies across the data ecosystem. Responsibilities include, but are not limited to: Engage with internal stakeholders to gather requirements, understand their needs, and ensure alignment on product goals and deliverables. Understanding and mapping of critical datasets within the group portfolio with the intention of enhancement, refinement and consistent delivery to our worldwide partners. Work closely with the delivery team; own, manage and convey requirements through user stories to inform the scope and design of data solution, planning and being available for technical inquiries and support. Input to the data product roadmap and manage the delivery of specific data product changes. Be involved in estimation sessions, to help prioritization of features and inform the product backlog. Work with the Data Governance team to make sure the integrity and utilization of data adheres to NBCU’s data governance standards and processes, ensuring fitness of data elements. Identify key risks and issues and ensure they are escalated in a timely manner. Maintain thorough documentation of product features, functionalities, and updates.