Product Manager

As a Product Manager for the Data and Data Science team, work closely with the business, customers, and technology teams to understand the challenges that need solving and their priorities. Own the data team and Data Science backlog, as well as innovate new ideas to improve performance, accuracy, and costs of Adthena data, the distributed ETL, and the use of data science. Translate complex data infrastructure, data pipeline, and data science needs into well-defined, actionable product requirements and user stories, driving clarity and consensus across engineering, design, and data science. Lead the end-to-end product development lifecycle for significant data capabilities and platform features, from strategic ideation through detailed execution, launch, and continuous iteration, ensuring high-quality delivery. Champion internal customer-centricity, leading in-depth research to uncover latent needs from product teams, data scientists, and business stakeholders, identifying emerging opportunities in data capabilities.