Data Product Owner

Responsibilities

• Define and own the roadmap for data and AI/ML products (data platforms, APIs, dashboards, predictive models, recommendation engines, NLP/vision solutions, etc.)
• Translate business goals into AI/ML-enabled product strategies that drive automation, insights, and competitive advantage
• Partner with business stakeholders to identify opportunities where AI/ML and advanced analytics can create value
• Act as the key interface between data scientists, engineers, and business units, aligning priorities across teams
• Maintain and refine product backlog; write detailed user stories with business and technical acceptance criteria
• Work closely with data scientists to design, build, and deploy ML models into production
• Ensure data quality, explainability, scalability, and performance are built into all products
• Oversee the lifecycle of ML models (development, deployment, monitoring, retraining)
• Ensure data and AI/ML products comply with internal policies and regulatory requirements (GDPR, responsible AI, gaming/financial regulations)
• Have minimal knowledge in MLOps, metadata management, and data governance

Languages