
Job Overview
Location
France, Remote
Job Type
Full-time
Category
DevOps & SysAdmin
Date Posted
April 21, 2026
Full Job Description
đź“‹ Description
- • As an IT Enablement Specialist at Dataiku SAS, you will be the owner of IT Processes and Knowledge Base, playing a critical role in enabling the company’s growth by ensuring reliability, quality, and collaboration across IT functions.
- • Your day-to-day responsibilities include improving and strengthening IT processes such as Change Management, Incident Management, and Project Management using industry best practices like ITIL; configuring and supporting ITSM and Project Management tools; leading process adoption by facilitating meetings, guiding teams, and ensuring tools are well-configured and user-friendly; defining Knowledge Management processes, maintaining the Knowledge Base for completeness and currency, and building and maintaining a System Integration Map that documents application and system integrations.
- • You will collaborate closely with IT Support, IT Operations, Security, Infrastructure, and Systems teams (including People, Finance, and Business) to align practices and optimize workflows across the organization.
- • In this role, you will develop deep expertise in IT service management, process optimization, and knowledge governance; become a trusted referent for IT processes across the company; gain hands-on experience with ITSM and PPM tools; and contribute to scalable, enterprise-grade AI infrastructure by enabling seamless IT operations that support Dataiku’s mission as the Platform for AI Success.
Skills & Technologies
About Dataiku SAS
Dataiku SAS provides a collaborative data science and machine learning platform enabling organizations to build, deploy, and monitor predictive analytics workflows. Founded in 2013 and headquartered in New York and Paris, the company serves global enterprises in finance, retail, pharmaceuticals, and manufacturing. Its flagship product, Dataiku DSS, offers visual data preparation, AutoML, model management, and governed MLOps, integrating with existing cloud and on-premise infrastructure. The company aims to democratize data science across technical and business teams, accelerating AI adoption while maintaining governance, transparency, and compliance.
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