In this role, you own the end-to-end success of a high-impact use case within an autonomous pod. You bridge business sponsorship and domain experts to ship real workflow improvements while producing reusable Fabric assets. You operate with a high level of autonomy, aligning cross-functional teams and managing regulatory dependencies to deliver measurable value. You will shape the product to meet sponsor KPIs and drive adoption in daily workflows, not just demos.Define use case scope, KPIs, and kill criteria with the business sponsor and track progress through deliveryPrioritize and sequence the pod backlog, deciding what to build and what to defer with clear trade-offsAlign the pod with the spine and serve as dotted-line lead to engineers, coordinating data plane and cross-functional dependenciesManage stakeholder engagement across the use case RACI, including Legal and Quality gates to keep processes movingDrive adoption and value realization with telemetry to show real usage and outcomes,



not just early demosContribute to monthly portfolio reviews with honest status, measurable value, and reusable assetsOwn the enterprise AI solution lifecycle from ideation to deployment and iterationLead cross-functional collaboration (design, engineering, QA, deployment) and ensure user experience is centralAI-era product management with shipped LLM-application experienceAbility to be the single accountable face to a VP-level sponsor while leveraging domain experts as leadsExperience operating in a portfolio model with explicit kill disciplineComfort working in regulated environments (GxP exposure a plus)Hands-on fluency in prompting, composing agents, and evaluating AI solutions; able to challenge engineers’ claimshumility before domain expertsopenness about issues and bad newsLLM-based product managementagentic or RAG product developmentprompt engineering and evaluation
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📌 Enterprise Ai Product Lead - Agilent Technologies (Barcelona)
🏢 Agilent Technologies
📍 Barcelona