IT Data Architect

Job content

After an extensive introduction and training period, your main challenges will be:

• In cooperation with the colleagues of IT and the international key users, you will  analyse the requirements  on management reporting and data insights in a wide range of business areas (manufacturing, logistics, finance, supply planning, sales, master data, R&D, HR,…).
• As a data architect, you’ll draft implementation proposals based on our centralized Microsoft Azure/Databricks & Power BI platform  or newer niche technologies in line with the Data & Analytics strategy.
• You will manage and document an overall view on our data assets, as opportunity to improve or create new Daikin business ( data management, data monetisation ). 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.
• You will explore  latest technology to cope with big data challenges  (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’ll  run proof of concepts  to gain experience and proof business value.
• You will be assigned to  lead analytics projects . 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 to  coordinate a team of internal & external IT colleagues and developers .
• You will work closely together with the  Business Analytics  team, which is our business counterpart in our Analytics Centre of Expertise. In this role, you strongly support the  standardisation & promotion of the pan-European reports & analytics solutions .
• You are co-drafting the Generative AI roadmap within Daikin Europe for the years to come, gathering the requirements from all divisions and designing a future-proof architecture and roadmap.
• You are prepared to  present  your area of expertise towards key users and management.
• You will work closely together with our Enterprise Architect team within IT Planning.

For this, you will not only need to follow and explore the future 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 the  Data Analytics & Gen AI strategy & roadmap  for the years to come. During this process, you will need to  study, plan and drive innovation , collaborate with experts and find business cases and bring our strategy into reality.

Profile

• You have a  master’s degree  as economist, engineer, computer scientist or equal.
• Academic knowledge and a first experience in data analytics, architecture or BI is  a plus.
• You have an  analytical & innovative spirit  and interest in the company processes; you strive to an optimal use of data in the company.
• You are established pragmatically, with a strong focus for the most recent  IT innovations .
• You have a  solution-oriented mind-set and a drive to continuously improve your area.
• You have the necessary self-discipline to make and follow-up a planning.
• You are a  team player  and try to establish and keep a good relationship with both your IT and business colleagues. You have  good communication skills  and are not afraid to  present  to groups.
• You are prepared to  occasionally travel  to Daikin group companies in Europe.
• You have analytic and communicative skills in  English , Dutch will be a plus.

Our offer

At 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.

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