Define, prioritize, and deliver data products that enable the business to make informed, data-driven decisions
Develop and communicate a clear vision, strategy, and roadmap for data products aligned to business goals
Identify opportunities to improve processes, analytics, and decision-making through new or enhanced data products
Translate business needs into detailed product requirements, user stories, and acceptance criteria
Participate in Agile ceremonies (stand-ups, grooming, sprint planning, retrospectives)
Champion high data quality, operational excellence, and strong data governance practices
Act as the primary point of contact for data product stakeholders and drive user adoption through training, documentation, and communication plans

Bachelor’s or Master’s degree in Business Administration, Data Analytics, Information Systems, Information Technology, Computer Science, or related field, or equivalent experience
5 – 8 years of experience in data product ownership, data analytics, data management, business intelligence, or similar roles
Experience working in Agile delivery framework
Familiarity with Agile Data Engineering best practices including Scrum and Kanban methodologies as well as Agile project delivery tools such as Jira, Rally, Mural, Miro, Lucid, Confluence, etc.
Strong understanding of enterprise data architecture, data modeling, and ETL/ELT processes
Experience with analytics and BI tools (e.g., Power BI, Tableau, Looker)
Knowledge of cloud data platforms (e.g., Azure, AWS, Snowflake, GCP) is a plus
Proven ability to influence without authority and navigate cross-functional teams

Senior Data Product Owner

Key skills