Help us transform patients' lives.
At UCB, we put our heart, soul, and skills into making a difference for people living with severe disease. Working together to push the boundaries, we blend the best of our talents to unlock innovation. Will you join us in our pioneering adventure?
Within the global UCB IT organization, the Analytics Centre of Excellence is playing a crucial role in enabling stakeholders from numerous functional domains with efficient and innovative technology solutions in the areas of BI, Analytics and AI.
We are looking for a unique individual to strengthen our team.
As the Analytics Technology Lead, you will lead Global data science, AI and Advanced Analytics platforms management, integration and innovation. The role is based in Brussels, Belgium.
Your main responsibilities
As the Analytics Technology Lead, you will:
Manage the Lifecyle of Advanced Analytics platforms and their integration with other analytics platforms.
Be responsible for defining the advanced analytics technology platform roadmap and in charge of the maintainability and the scalability of the proposed solutions.
Manage the Rstudio, RShiny, Jupyter and other data science enterprise platforms and labs on premises and in the cloud (AWS and Azure), own the administration of such platforms and supervise the platform administration activities.
Manage the coordination and the integration of heterogeneous environments in line with the needs of end user and data scientists.
Lead the platform implementations/projects and manage the stakeholders and vendors involved, by showing advanced project management skills and ability to deliver technology projects in a matrix organization collaborating with the various departments involved like security, technology strategy and infrastructure.
You see yourself immediately when reading…
Eager to learn, discover and develop new Artificial Intelligence technologies and enable the integration across the different solutions.
Proficiency in concepts like statistical programming (e.g. R, Python), machine learning, smart data visualization (e.g. R-Shiny, Qlik Sense) and augmented analytics is required.
Familiar with frameworks involving structured and unstructured data (e,g. Hadoop, Spark, Relational and non-Relational databases).
Proficient with the management of Linux environments, Containers and knowledgeable of Kubernetes.
Good communication skills, team player.
Fluent in English