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The single point of contact for value, scope, and adoption across the pod's use case, and thepod'sleader in practice. The Product Lead is the interface to the business sponsor and the person accountable for theusecase landing in real workflows,operatingtwo-in-a-box with the business domain lead. Expert-led AI is the operating principle: the 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.
Responsible for
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 thepod'sengineers and the escalation path for dependencies on the data plane, the harness plane, and the cross-functional gates.
Stakeholder management for the usecase'sRACI, 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 andadoptiontelemetry; 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.
What success looks like in year one
What you bring
AI-era product management witha shippedLLM-application experience; you have taken agentic or RAG products from concept to adopted workflowtooland 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.
Experienceoperatingin a portfolio model with explicit kill discipline; you have killed or materially pivoted something youbuilt andcan talk about it without flinching.
Comfort withregulated environmentconstraints as design inputs rather than obstacles;GxPor equivalent exposure is a plus.
Hands-on fluency per the leadership standard:youprompt, compose agents, and read evals yourself, and you can pressure-test your engineers' claims because you havebuilt withthe 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.
Additional Details
This job has a full time weekly schedule.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. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
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