Enterprise Ai Product Lead - Agilent Technologies

Agilent Technologies; Barcelona; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Agilent Technologies in Barcelona seeks an AI product manager to own end-to-end use-case success, bridging business sponsors and domain experts to ship measurable workflow improvements and reusable Fabric assets.

You will lead cross-functional teams, manage regulatory dependencies, and drive adoption through telemetry, while shaping the product to meet sponsor KPIs and deliver real value in daily workflows.

Formación

• Extensive experience delivering AI-powered product outcomes.
• Ability to manage complex regulatory and quality gates.
• Proven track record in shipping enterprise AI solutions.

Responsabilidades

• Define use case scope, KPIs, and kill criteria with the sponsor.
• Prioritize the pod backlog and align with engineers and data teams.
• Coordinate cross-functional dependencies and governance gates.
• Drive adoption with telemetry and measurable value realization.
• Lead enterprise AI solution lifecycle from ideation to deployment.
• Collaborate with design, QA, and deployment teams to ensure UX focus.

Conocimientos

AI product mgmt

stakeholder mgmt

prompt engineering

regulatory compliance

LLM integration

cross-functional leadership

data-driven

portfolio lead

Herramientas

LLM platforms

Descripción del empleo

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 delivery
• Prioritize and sequence the pod backlog, deciding what to build and what to defer with clear trade-offs
• Align the pod with the spine and serve as dotted-line lead to engineers, coordinating data plane and cross-functional dependencies
• Manage stakeholder engagement across the use case RACI, including Legal and Quality gates to keep processes moving
• Drive adoption and value realization with telemetry to show real usage and outcomes, not just early demos
• Contribute to monthly portfolio reviews with honest status, measurable value, and reusable assets
• Own the enterprise AI solution lifecycle from ideation to deployment and iteration
• Lead cross-functional collaboration (design, engineering, QA, deployment) and ensure user experience is central
• AI-era product management with shipped LLM-application experience
• Ability to be the single accountable face to a VP-level sponsor while leveraging domain experts as leads
• Experience operating in a portfolio model with explicit kill discipline
• Comfort working in regulated environments (GxP exposure a plus)
• Hands-on fluency in prompting, composing agents, and evaluating AI solutions; able to challenge engineers’ claims
• humility before domain experts
• openness about issues and bad news
• LLM-based product management
• agentic or RAG product development
• prompt engineering and evaluation