Run the intake-to-roadmap loop for Enterprise AI Enablement: partner with stakeholders to capture use cases, clarify scope/ownership, and shape opportunities into well-defined epics and user stories (with clear outcomes and acceptance criteria)
Prioritize what matters most by applying the strategy’s prioritization model (top-down themes + bottom-up Business Unit needs), ensuring we build workflows that create measurable time savings and adoption—not one-off tools.
Own execution hygiene for the backlog: keep the backlog crisp, sequenced, and “build-ready” for AI engineering, including lightweight discovery, dependency mapping, and release notes for internal users
Enable “Right tools for the right work” by partnering with IT Ops / Procurement / Security to support tool inventory signals, capability-to-tool guidance, and practical rollout communications that reduce tool sprawl and compliance gaps.
Build “metrics that matter” into every initiative: define baseline + success metrics (adoption, time saved, workflow cycle time), and support quarterly impact reporting with clear, decision-ready summaries.
Ship workflow enhancement with BU partners: support delivery of production-grade agents/workflows by keeping BU owners aligned on outcomes, readiness, and change management—so adoption sticks after launch.
Contribute to org-wide AI fluency by partnering on enablement assets that make the compliant path the easiest path.

4+ years of experience in Product (Product Owner, Product Manager, Program/Product Ops) working with cross-functional teams to deliver internal tools, platforms, or automation/workflow product
Working knowledge of Agile practices (Scrum/Kanban), including writing user stories, running prioritization, and supporting sprint/release ceremonies
Ability to partner with technical teams (AI/ML, data, engineering) and translate complexity into clear tradeoffs, decisions, and user-facing outcome
Experience defining success metrics and using data to inform prioritization and iteration (adoption, efficiency, cycle time, satisfaction)

AI Product Owner

Key skills