PulliInternational environment /liliData Warehouse and Governance /li /ulh3About Our Client /h3pOur client is located in Geneva /ph3Job Description /h3h3Data architecture and technology /h3ullidefine, maintain and document conceptual and logical data models for the data ecosystem in close collaboration with Enterprise and Data architect /lilidefine, implement and monitor compliance to data architecture principles, ensuring consistency, scalability, and interoperability across systems /liliidentify and recommend technologies for semantic search, knowledge graphs, and AI-enhanced data access AI and data intelligence enablement /lilievaluate and implement AI-oriented data technologies, including vector databases, graph databases, embeddings, and retrieval pipelines /liliwork with data team to scale and integrate new technologies into the data architecture /lilicontribute to the design of AI enabled applications (e.g., content discovery, document intelligence, knowledge assistants, etc.) /lilipromote best practices for data preparation, enrichment, and optimization for AI models /li /ul h3Collaboration with all IT teams (Digital Workplace, Back Office Solutions and Data, and Customer Solutions and Infrastructure) /h3ulliSpecialist data team and act as the IT SPOC for implementation of data related initiatives (DataHub, Selfservice Analytics, RAG based application, AI Based initiatives etc.) /lilimonitor and guide the evolution of the Data Warehouse and Data Hub to ensure alignment with organizational needs and technological advancements /lilipartner with development teams (internal or external) to support and guarantee evolution of data models /lilisign off IT solution design reviews to guarantee compliance with established data architecture and data models /li /ul h3Governance and quality /h3ullidefine and enforce compliance with data governance (Data Glossary, Data Catalog, etc..), and Metadata Management Standards /liliensure data consistency, traceability and lineage, and documentation across systems /lilicollaborate with the IT Information Security Officer and the Legal and compliance team to maintain data protection standards and data to maintain data protection standards /li /ul h3Best practices /h3ullibe familiar with best practices in related processes and areas of work /lilicarry out work in alignment with strategic objectives and rules to deliver optimal service to both internal and external stakeholders /li /ul h3The Successful Applicant /h3pStrong background in data architecture or data engineering, ideally with exposure to both traditional and AIenhanced data systems. /ppHands-on experience with cloud-based data platforms (AWS and OCI - Oracle Cloud Infrastructure) and modern data stack components. /ppKnowledge of vector databases (e.g., Pinecone, FAISS, Azure Cognitive Search) and graph databases (e.g., Neo4j, AWS Neptune, Oracle Graph). /ppKnowledge and practice of a data management framework (DAMA-DMBOK). /ppKnowledge of and understanding of AI-related regulations (e.g., EU AI Act). /ppFamiliarity with data modeling tools, conceptual model design, and metadata management. /ppUnderstanding of machine learning pipelines and LLM integrations (embedding retrieval, RAG, semantic search). /ppProficiency in SQL, Python, and modern ETL/ELT frameworks. /ppSolid working knowledge of relevant digital tools, curious about, able to learn, assimilate and understand thebr/impacts of current and future technologies. /ppDemonstrate strong project management and leadership skills, with the ability to plan, coordinate, and leadbr/the implementation of data initiatives, manage vendors and external partners, and ensure alignment withbr/strategic objectives, timelines, and quality standards. /p h3What's on Offer /h3pAttractive environment /ppFlexible Hours /pp2 days of home office per week. /p /p #J-18808-Ljbffr