Data Product Owner/Data Product Manager

Summary

Join Xebia as a Data Product Owner/Manager and strategically manage and develop data products that deliver business value. You will act as a bridge between business needs and the technical capabilities of the data engineering and analytics team, possessing a deep understanding of the data ecosystem and related technologies. Your primary goal is to identify and maximize the value delivered by data and data-driven products, addressing specific business problems or creating new opportunities. You will oversee the entire data product lifecycle, from ideation to retirement. This role requires strong collaboration with various teams and stakeholders to ensure successful product implementation and adoption. The position requires a minimum of 5 years of hands-on experience in data analytics and management projects.

Requirements

• Minimum of 5 years of hands-on experience in Data analytics and management projects, with a proven track record of successfully managing integrations of data solutions that gave a real business value and inform decision-making process within organizations
• Solid SQL proficiency
• Python basics - data manipulation with pandas, basic scripting for analysis
• Strong grasp of data engineering, governance, and modern architectures (cloud, batch/streaming)
• Familiarity with cloud technologies (e.g., Azure, AWS, GCP) and modern data stacks
• BI/visualization tools - proficiency in Power BI, Tableau, Looker for dashboard creation and data storytelling
• Work from the European Union region and a work permit are required

Responsibilities

• Act as the primary point of contact for data product initiatives, providing thought leadership and subject matter expertise in all areas of data management, analytics, and operational reporting
• Shape and execute roadmap for data products, outlining key functionalities, timelines, and objectives
• Actively engage with business stakeholders (such as managers, analysts, subject matter experts, and product teams) to identify and address their needs, problems, and goals using data-driven insights and solutions
• Translate complex business requirements into clear, measurable, and technically feasible requirements for the technical team
• Ensure that backlog items are well-defined, prioritized, have clearly specified acceptance criteria, and align with the product vision
• Collaborate closely with Data Engineers, Analytics Engineers, and Data Scientists to ensure technical feasibility and optimal implementation of data products
• Define and continuously monitor key performance indicators (KPIs) and metrics to measure the success and adoption of data products
• Drive process improvement initiatives to elevate data governance, security, and compliance standards within the retail data domain