Product Owner

Product Owner

Established in 1927, SICPA is a Swiss private technology company that supports the effective governance and long-term prosperity of nations.

SICPA sets the pulse of sovereignty , enabling governments to protect their citizens, sovereign assets, and economies. Best known for securing the majority of the world’s banknotes, SICPA operates across five continents. Today, our platform for sovereignty delivers integrated solutions safeguarding revenue mobilisation, natural resources, health, and brand protection as well as digital sovereignty and secure public services. Product Owner – Sovereign Data Platform

We are looking for a Product Owner to contribute to the development of the Sovereign Data Platform, transforming complex data into actionable insights that support informed decision-making and deliver measurable value.

ROLE

• Product Owner
• Define and maintain a clear, prioritized product backlog for the Sovereign Data Platform based on business goals, customer needs, market opportunities, and technical dependencies
• Collaborate with customers, business stakeholders, sales teams, data scientists, architects, and engineering teams to gather requirements and align priorities
• Translate business needs into actionable user stories, acceptance criteria, analytical requirements, and product increments
• Own and prioritize the delivery roadmap, ensuring a continuous flow of high-value functionality and measurable business outcomes
• Drive the development of dashboards, analytical applications, anomaly detection capabilities, predictive insights, and AI-powered recommendations
• Work closely with UX and engineering teams to ensure intuitive user experiences, effective information architecture, and meaningful data visualization
• Facilitate communication and alignment across stakeholders, providing transparency on priorities, dependencies, risks, and delivery progress
• Partner with data engineering, software engineering, QA, DevOps, and data science teams throughout the delivery lifecycle, including discovery, refinement, planning, testing, and release activities
• Monitor product adoption, customer feedback, and operational metrics to identify improvement opportunities and drive continuous product evolution
• Promote data-driven decision making and best practices in analytics and insights across the organization