Enterprise AI Product Lead

Agilent inspires and supports discoveries that advance the quality of life by providing life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, application and both measurement and asset management expertise.

About the role

The Product Lead is the single point of contact for value, scope, and adoption across the pod's use case, and the pod's leader in practice. This role serves as the interface to the business sponsor and is accountable for ensuring the use case lands in real workflows, operating two-in-a-box with the business domain lead. Expert-led AI is the operating principle: domain experts frame the work, and the Product Lead ensures the pod builds what they framed rather than what was easiest to demo.

This is a high-autonomy role. The Product Lead operates a small senior team embedded far from the spine, owns a relationship with a VP-level sponsor, navigates the use case's RACI (including Legal, Quality, and IT/Security dependencies where they sit on the critical path), and is expected to surface bad news early and kill criteria honestly. The role carries the pod's dual mandate personally: ship business value and produce reusable Fabric assets, with neither traded away for the other.

Responsibilities

• Use case definition and KPI targets, agreed with the business sponsor at approval and tracked honestly through delivery; this includes owning the kill criteria written at approval and recommending a kill or pivot when the data says so.
• Scope, sequencing, and the pod backlog: what gets built, in what order, and what explicitly does not, with trade-offs surfaced to the sponsor rather than absorbed silently.
• Alignment across the pod and with the spine: the Product Lead is the dotted-line lead for the pod's engineers and the escalation path for dependencies on the data plane, the harness plane, and the cross-functional gates.
• Stakeholder management for the use case's RACI, including the Legal and Quality gates on regulated use cases; the Product Lead keeps those gates moving by engaging them early, not by routing around them.
• Adoption and value realization: intelligence shipped into the workflow, used by the named experts, with measured outcomes and adoption telemetry; not a demo that impressed a steering committee.
• The pod's contribution to monthly portfolio review: honest status, measured value, named reusable assets, and what the spine needs to unblock.
• Primary owner of an enterprise AI solution responsible for managing the full solution lifecycle—from ideation and planning through development, deployment, and continuous iteration.
• Act as the central point for user experience, agile delivery, and cross-functional coordination across design, engineering, QA, and deployment teams.
• Define and evolve product features based on user feedback, market research, and emerging technology trends.
• Develop and maintain a product roadmap aligned with business goals and customer needs.
• Partner with Sales, Marketing, and Customer Success to ensure digital products are well positioned, adopted, and delivering measurable value.
• Prepare product documentation, lead enablement efforts, and collaborate with technical teams to prioritize and deliver impactful digital enhancements.

What Success Looks Like In Year One

• The pod's use case delivering against its committed KPI targets, with value measured in the sponsor's vocabulary and accepted by the sponsor, not only by the CoE.
• Adoption demonstrated by named domain experts using the capability in their daily workflow, with telemetry that distinguishes real usage from launch-week curiosity.
• At least one reusable Fabric asset from the pod named, certified, and consumed or queued for consumption by another use case.
• A business sponsor who would fight to keep the pod, and a pod team that would follow this Product Lead to the next domain.

Requirements

• AI-era product management with a shipped LLM-application experience; you have taken agentic or RAG products from concept to adopted workflow tool and carry the scars of the adoption gap between the two.
• The presence to be the single accountable face of the pod to a VP-level sponsor, and the humility to treat domain experts as the leads; you have run discovery with skeptical experts and earned their engagement.
• Experience operating in a portfolio model with explicit kill discipline; you have killed or materially pivoted something you built and can talk about it without flinching.
• Comfort with regulated environment constraints as design inputs rather than obstacles; GxP or equivalent exposure is a plus.
• Hands-on fluency per the leadership standard: you prompt, compose agents, and read evals yourself, and you can pressure-test your engineers' claims because you have built with the same tools.
• Bachelor's or Master's Degree or equivalent. Post-graduate, certification, and/or license may be required.
• Typically, at least 8+ years relevant experience for entry to this level.

Pay

Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location.

Schedule

• Full-time weekly schedule.
• Day shift.
• Travel Required: 10% of the Time.
• Duration: No End Date.