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Generali is one of the largest integrated insurance and asset management groups worldwide, with a total premium income of € 98.1 billion and € 900 billion AUM in 2025. Established in 1831, with over 88,000 employees and 163,000 advisors serving 75 million customers, the Group has a leading position in Europe and a growing presence in Asia and America. At the heart of Generali’s strategy is its Lifetime Partner commitment to customers, achieved through innovative and personalised solutions, best-in-class customer experience and its digitalised global distribution capabilities. The Group has fully embedded sustainability into all strategic choices, with the aim to create value for all stakeholders while building a fairer and more resilient society. Key Responsibilities: Support business and technology transformation initiatives with a focus on Data and AI solutions Evaluate, recommend, and onboard appropriate Data and AI technologies, platforms, and architectural approaches, considering business benefits, total cost of ownership, scalability, ease of management, and long-term sustainability Define and maintain data and AI architectural models, standards, and best practices to ensure alignment with IT strategy, business objectives, and enterprise governance requirements Plan, develop, manage, and deliver technology enablement projects and proofs of concept, ensuring successful implementation within agreed timelines, budgets, and expected business outcomes Collaborate with business units, IT teams, and other stakeholders to identify opportunities for applying data, AI, automation, and emerging technologies to improve business processes and decision-making Manage assigned projects, ad hoc initiatives, and other responsibilities as directed by the Supervisor or Head of IT Support IT budget planning, monitoring, and related administrative matters Key Requirements: Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline Minimum 6 years of experience in delivering enterprise-level Data and AI solutions, technology transformation projects, or solution architecture initiatives Solid understanding of banking and/or insurance business processes, systems, and regulatory considerations Hands-on knowledge of data warehouse concepts, AI technologies, data platforms, and modern analytics solutions Good understanding of cloud service models, including IaaS, SaaS, and PaaS Knowledge of data governance principles, frameworks, and best practices, including data quality, metadata management, and data lifecycle management Experience with data management tools and processes, including data cleansing, quality control, metadata management, and governance implementation Experience in project management, solution architecture design, and software delivery methodologies such as TDD, BDD, DDD, Agile, or other relevant development approaches Strong communication, stakeholder management, and collaboration skills, with the ability to work effectively across business units, back-office functions, and IT teams. Previous experience in IT budget planning, tracking, or cost management is an advantage. Self-motivated, analytical, and business-oriented, with a strong interest in applying Data and AI to solve practical business challenges We offer 5-day work, good career prospects and attractive remuneration package to the right candidates. Interested parties please send full resume with current & expected salary. Personal data collected will be strictly used for recruitment purpose only. All unsuccessful applications will be destroyed after two years