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.Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet's beauty for the generations to come.Job overview and responsibilitiesJoin us at Syensqo, where our IT team is gearing up to enhance its capabilities. We play a crucial role in the group's transformation—accelerating growth, reshaping progress, and creating sustainable shared value. The IT team is making operational adjustments to supercharge value across the entire organization.Come be part of our transformation journey and contribute to the change as a future team member.Mission Context:As a Data Specialist - Product Owner, you will lead and manage our data products, collaborating with cross-functional teams such as data scientists, engineers, analysts, scrum masters, and stakeholders to ensure the successful delivery of data-driven solutions that fulfill business requirements. Your responsibilities will include crafting detailed product roadmaps and driving the execution of data product initiatives.Key Responsibilities:Strategic Visioning: Develop a comprehensive vision for data products, such as Data Cloud Solutions, AI Products and Dashboards, including detailed road maps. Effectively communicate this vision to the development team and stakeholders.Agile Team Leadership: Lead and manage agile teams working on data products, fostering a collaborative and productive environment to drive successful project outcomes.Prioritize and Manage Backlogs: Oversee the prioritization and backlog of data projects, ensuring the delivery of epic scope and product iterations in time.Map Internal Demand: Identify and map demands from internal stakeholders for reports, dashboards, and data solutions.Leverage Data for Objectives: Understand business objectives and identify opportunities to leverage data to meet those goals.Define Data Technical Needs: Understand the system landscape and database model, defining the technical data needs for each project.Scrum Participation: Actively engage in Scrum ceremonies, including retrospectives, demos, and test labs, with a focus on improving our Data Products.Relentless Improvement: As the Data Product Owner, continuously improve our approach to evaluating, planning, tracking, and documenting changes to core Data business processes, supporting our ongoing growth journey.Education and experienceBSc/MSc degree in engineering, computer science, mathematics, statistics, or related.+5 years of professional experience as a Product Owner in the business intelligence or data environment.Proven track record of successfully managing and delivering complex data products.Good knowledge of data analytics methods, tools, and technologies such as SQL and Qlik Sense
