Job DescriptionOwns the Fabric data plane: the certified data and semantics every agent and BI use case depends on.
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The Agilent Intelligence Fabric is a single governed substrate serving both BI and agentic AI; one substrate, two consumption modes.
This role makes the data side of that promise real, meaning every certified data product carries a semantic definition, a data contract, policy and entitlement metadata including agent identity, lineage and observability, and a certification tier. The role operates on a core conviction of the program: AI is the primary builder of the Fabric, not merely its consumer.
This leader deploys agents that generate metadata, resolve entities across domains, score quality, and classify unstructured content, so the data plane compounds in richness with every interaction rather than depending on manual annotation at enterprise scale. Responsible for Certified,



versioned data products and semantic models, built in partnership with domain owners and stewards, with certification tiers that agents and BI consumers can both trust. The Asset Registry, lineage, and data-quality signals; the registry is the discoverable, versioned home for data products and semantic definitions. Lakehouse, vector, and graph retrieval foundations underpinning grounded agent behavior. Agentic workloads that build the Fabric itself: metadata generation, entity resolution, quality scoring, and unstructured content classification. Solid-line management of AI Data Engineers deployed into pods. Leads a team responsible for designing, developing, and implementing modular data models, data pipelines, and data management frameworks that enable the capture, integration, storage, and utilization of structured and unstructured data from multiple sources.Applies in-depth understanding of business and technical require

📌 Head of Data Engineering, AI CoE (Barcelona)
🏢 Agilent Technologies
📍 Barcelona