【AstraZeneca】【CET】Data Architect Engineering – AI-Ready Data Warehouse Lead, Data & Business Intelligence

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From AstraZeneca’s original posting

AstraZeneca’s 2030 strategy is driven by its bold ambition to pioneer scientific innovation, lead in key disease areas, and transform outcomes for patients worldwide. By 2030, the company aims to deliver new medicines, achieve industry-leading growth, and set new standards for sustainability by becoming carbon negative. Positioned as a leader in leveraging technology, data, and artificial intelligence, AstraZeneca strives to advance healthcare and create exponential value for both patients and society. The Customer Experience & IT leads the way in shaping Japan’s business and technology landscape, driving impactful contributions to our business success. AstraZeneca is investing significantly in data platforms (e.g., Snowflake-based AICE-DP) and AI, while transitioning from traditional reporting to AI-driven, interactive data applications. New capabilities—such as Streamlit- and React-based Data analytics applications integrated with Snowflake and power BI —enable real-time data exploration, natural language insights, and self- service analytics. Combined with AI layers (e.g., Cortex), data can be enriched, standardized, and transformed into insights before visualization, improving…