Act as the primary point of contact for diverse stakeholders (e.g., marketing, supply chain, finance, and operations teams), in order to gather requirements, define user stories and acceptance criteria * Embed ethical use of data and AI models by design, and in alignment with legal and regulatory requirements (e.g. GDPR, EU AI Act) * Facilitate cross-functional collaboration and communication between business stakeholders, data engineers, BI engineers, data stewards and data analysts. * 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, …). *
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