Enterprise Ai Product Lead - Agilent Technologies

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 xcskxlj 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

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