Job description

Description: Hybrid Onsite at Charlotte, NC. Local candidates preferred. Product Owner Experience: 8–12 years Role Summary The Product Owner will partner with business and technology teams to take AI and agentic use cases from initial problem framing through production release and adoption. The role owns use-case intake, prioritization, backlog management, acceptance criteria, evaluation KPIs, governance readiness, and measurable business outcomes. Key Responsibilities Facilitate business problem framing and identify suitable AI, LLM, RAG, or agentic solution patterns. Manage use-case intake, prioritization, feasibility assessment, and roadmap alignment. Create product epics, user stories, acceptance criteria, and release objectives. Coordinate data, model, platform, security, risk, and engineering stakeholders. Define business, model-quality, operational, adoption, and value-realization KPIs. Support model selection, prompt strategy, RAG design, evaluations, and human-in-the-loop controls. Ensure responsible AI, security, compliance, and model-risk requirements are addressed. Drive user acceptance, release readiness, adoption planning, and post-release outcome tracking. Required Skills Product management and Agile backlog ownership. Business problem framing and use-case prioritization. Understanding of LLMs, RAG, agentic AI, model selection, and evaluation approaches. Experience defining functional and non-functional acceptance criteria. Responsible AI, model-risk, security, and governance controls. Product analytics, adoption metrics, and business-value measurement. Executive communication and stakeholder facilitation. Experience working with multidisciplinary AI engineering teams. Preferred Qualifications Bachelor’s or master’s degree in technology, business, data science, or a related field. Product Owner, Scrum, SAFe, or product-management certification. Experience delivering enterprise AI solutions in a regulated environment.

Requirements

Must-haves

Product Owner
Experience: 8–12 years
Facilitate business problem framing and identify suitable AI, LLM, RAG, or agentic solution patterns.
Manage use-case intake, prioritization, feasibility assessment, and roadmap alignment.
Create product epics, user stories, acceptance criteria, and release objectives.
Coordinate data, model, platform, security, risk, and engineering stakeholders.
Define business, model-quality, operational, adoption, and value-realization KPIs.
Support model selection, prompt strategy, RAG design, evaluations, and human-in-the-loop controls.
Ensure responsible AI, security, compliance, and model-risk requirements are addressed.
Drive user acceptance, release readiness, adoption planning, and post-release outcome tracking.
Product management and Agile backlog ownership.
Business problem framing and use-case prioritization.
Understanding of LLMs, RAG, agentic AI, model selection, and evaluation approaches.
Experience defining functional and non-functional acceptance criteria.
Responsible AI, model-risk, security, and governance controls.
Product analytics, adoption metrics, and business-value measurement.
Executive communication and stakeholder facilitation.
Experience working with multidisciplinary AI engineering teams.

Nice-to-haves

Hybrid Onsite at Charlotte, NC. Local candidates preferred.
Bachelor’s or master’s degree in technology, business, data science, or a related field.
Product Owner, Scrum, SAFe, or product-management certification.
Experience delivering enterprise AI solutions in a regulated environment.

Application prep

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Keywords to mirror

aillmagilescrum

Platform: jobdiva
Effort: medium