On a day-to-day basis, the Product Owner will then work directly with the development team, 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 data engineers, data scientists, 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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