IT Data Architect

pAfter an extensive introduction and training period, your main challenges will be: /pulliIn cooperation with the colleagues of IT and the international key users, you willbanalyse the requirements /bon management reporting and data insights in a wide range of business areas (manufacturing, logistics, finance, supply planning, sales, master data, RD, HR,…). /liliAs a data architect, you’ll draft implementation proposals based on our centralizedb Microsoft Azure/Databricks Power BI platform /bor newer niche technologies in line with the Data Analytics strategy. /liliYou will manage and document an overall view on our data assets, as opportunity to improve or create new Daikin business (bdata management, data monetisation /b). You will shape our data platform where data from different existing platforms (internal or external, structured or non-structured) can be combined in a consistent well-designed data analytics architecture. /liliYou will exploreblatest technology to cope with big data challenges /b(connecting machines, products, cloud platforms… ) and adding advanced analytics, artificial intelligence (AI) Machine Learning (ML) capabilities to our current analytics architecture including a robust governance structure. You’llbrun proof of concepts /bto gain experience and proof business value. /liliYou will be assigned toblead analytics projects /b. In doing so, you take into account every step of Daikin’s our “Project management methodology” to deliver high-quality IT solutions towards business. This will require you tobcoordinate a team of internal external IT colleagues and developers /b. /liliYou will work closely together with thebBusiness Analytics /bteam, which is our business counterpart in our Analytics Centre of Expertise. In this role, you strongly support thebstandardisation promotion of the pan-European reports analytics solutions /b. /liliYou are bco-drafting the Generative AI roadmap /b within Daikin Europe for the years to come, gathering the requirements from all divisions and designing a future-proof architecture and roadmap. /liliYou are prepared tobpresent /byour area of expertise towards key users and management. /liliYou will work closely together with our Enterprise Architect team within IT Planning. /li /ulpFor this, you will not only need to follow and explore thefuture evolutions trends on analytics(predictive/prescriptive BI, real-time/embedded analytics in S/4HANA, big data from our units, data lakes, cloud or hybrid data warehousing, …), but also further conceive thebData Analytics Gen AI strategy roadmap /bfor the years to come. During this process, you will need tobstudy, plan and drive innovation /b, collaborate with experts andfind business casesand bring our strategy into reality. /ph3Profile /h3ulliYou have abmaster’s degree /bas economist, engineer, computer scientist or equal. /liliAcademic knowledge andba first experience /bin data analytics, architecture or BI isba plus. /b /liliYou have anbanalytical innovative spirit /band interest in the company processes; you strive to an optimal use of data in the company. /liliYou are established pragmatically, with a strong focus for the most recentbIT innovations /b. /liliYou have absolution-oriented /bmind-set and a drive to continuously improve your area. /liliYou have the necessary self-discipline to make and follow-up a planning. /liliYou are abteam player /band try to establish and keep a good relationship with both your IT and business colleagues. You havebgood communication skills /band are not afraid tobpresent /bto groups. /liliYou are prepared toboccasionally travel /bto Daikin group companies in Europe. /liliYou have analytic and communicative skills inbEnglish /b, Dutch will be a plus. /li /ulh3Our offer /h3pAt Daikin you can count on a varied job, with an international market leader which encourages people to work together and develop. We can offer you a permanent contract. From the very beginning you can count on thorough training and intensive support. Your competitive salary is complemented by a package of extra-legal benefits.
Colleagues get the possibility to work from home 2 days every week. /p