On a day-to-day basis, the Product Owner will then work directly with the , tracking the sprint cycle and increments, ensuring that the development aligns precisely with the defined capabilities and user stories, and ultimately delivering tangible value in support of the Strategistoverarching vision. * Enforce compliance with data governance policies, ensuring data products meet security, privacy, and quality standards. * Collaborate closely with , , and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …). * Define and monitor KPIs to measure the success and quality of data products (e.g., reliability, accessibility, adoption, and business impact).
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