AI & Technology Specialist, I
On-site · Oss, North Brabant, The Netherlands
Job Summary
Lead design and delivery of AI and data solutions at Organon’s Oss site. Own end-to-end AI initiatives from understanding business challenges to building, validating, and handing over scalable, compliant solutions that improve operations and quality. Architect data flows and models, choose fit-for-purpose tools (Power BI dashboards, Python-based models, generative AI integrations), ensure GxP-compliant delivery, and maintain reproducible pipelines. Drive platform strategy and governance for AI and Data & Analytics, manage project scope and timelines, coach junior colleagues, and advocate AI literacy within a regulated manufacturing environment. Demonstrate ownership of initiatives, communicate clearly to technical and non-technical audiences in Dutch and English, and bring external AI learnings back to the team. Prototyped or deployed generative AI solutions (RAG, prompt engineering, agent-based workflows) and leverage MLOps, data governance, or enterprise AI governance frameworks to land business value.
Required Qualifications
- Completed HBO or WO degree in Information Technology, Business IT, Data Science, Artificial Intelligence, Industrial Engineering, or a related field.
- 3–5 years of relevant experience delivering data, analytics, or AI solutions in a business context.
- Demonstrated ownership of at least one end-to-end solution delivery cycle.
- Experience in a manufacturing, supply chain, or regulated (GxP/GMP) environment is a meaningful advantage.
- Confident working with Power BI, SQL, and Python.
- Hands-on experience with cloud or AI platforms (Azure, Microsoft Fabric, Copilot, or similar).
- Ability to design data models and build analytics solutions independently.
- Experience with validation or test documentation in regulated environments is a plus.
- You take ownership without being asked.
- You communicate with clarity and confidence to both technical and non-technical audiences in Dutch and English.
- You are genuinely curious about AI, you follow the field actively, and you bring that knowledge back to the team.
- You coach naturally and make the people around you better.
- You have prototyped or deployed a generative AI solution (RAG, prompt engineering, agent-based workflows).
- You have experience with MLOps, data governance, or enterprise AI governance frameworks.
- You have presented an AI business case to senior stakeholders and moved it forward.
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