About Swiss ReSwiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking.We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.About the roleAs a member of the Center of Expertise for Data Architecture and Initiatives, you will actively deliver a strategic impact by supporting the implementation of Swiss Re's ambition to become a data connected company. You will contribute to strategic initiatives and work on constantly improving the company-wide data landscape in collaboration with the business domains. For this role you will need to have strong analytical, conceptual, and critical thinking skills, with the ability to recognize competing requirements and to balance trade-offs. If you are an IT and data enthusiast who enjoys creating a meaningful data architecture direction and would like to work with a variety of partners all over the globe on innovative data and analytics topics, this role is for you!Your tasks include but are not limited to:Contribute to key strategic initiatives that impact Swiss Re's data and analytics landscapeCreate data architecture visualizations and blueprints to support design decisions, solution design and explanation of requirements to various audiences in business and ITCreate and maintain an overall Swiss Re data architecture landscape highlighting the impact of strategic projectsDefine and maintain best practices and standards for data and data platforms used across the companyAssess and promote innovative data architecture concepts such as data mesh or data fabricWork with other members of the Group Data Services division, including product owners, data governance experts, data engineers, data analysts and data scientistsFoster oneness through facilitating a cross-domain data architects' communityLiaise, align, and partner with relevant architecture decision bodies and domain expertsAbout the teamWe are looking for a new Data Architect to join our highly skilled global team. You should have a passion for technology and enjoy translating strategy into architecture. We are working as a small team with colleagues from various countries who have outstanding experience. You will work closely with many business domains and projects which will enable you to actively demonstrate your analytical, managerial and communication skills.About youBachelor's degree in information management, computer science, engineering, natural sciences, or comparable qualificationMaster's degree and PhD is a plus3+ years of experience in enterprise/data architecture, business analysis, data management, data analytics, ML/AI or another related fieldExperience in the design of data architectures and data modelsExperience in machine learning, natural language processing or data science is a plusDomain experience in insurance/reinsurance or in the financial services sector would be preferredStrong communication skills and the ability to explain even complex concepts to various audiencesExcellent analytical, conceptual, and critical thinking skillsStrong work ethic and self-starter who can deliver results quicklyKnowledge in agile approachesExperience in modern cloud architectures and related data platform services is a plusExperience in a modern programming languageExcellent verbal and written English skills
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