Product Owner

Stellent IT LLC

Charlotte (NC)

Ibrido

USD 110.000 - 160.000

Tempo pieno

8 giorni fa
Generatore di candidature

Una candidatura su misura per questa offerta di lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

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Descrizione del lavoro

Stellent IT LLC seeks an experienced Product Owner to partner with business and technology teams to drive AI-enabled use cases from inception to production release and adoption.

The role owns use-case intake, backlog management, acceptance criteria, KPIs, and governance readiness, ensuring measurable business outcomes and responsible AI practices.

Competenze

  • 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.

Mansioni

  • Facilitate business problem framing and identify AI/LLM patterns.
  • Manage use-case intake, prioritization, feasibility assessment, and roadmap alignment.
  • Create epics, user stories, acceptance criteria, and release objectives.
  • Coordinate data, model, platform, security, risk, and engineering stakeholders.
  • Define KPIs for business, model quality, operations, and adoption.
  • 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 tracking.

Conoscenze

Product management and Agile backlog
Business problem framing
LLMs, RAG, agentic AI
Acceptance criteria definition
Responsible AI & model governance
Product analytics & adoption metrics
Executive communication
Cross-functional AI engineering

Formazione

Bachelor's or Master's in tech, business, data science
Product Owner / Scrum / SAFe certification

Descrizione del lavoro

Product Owner
Contract
Hybrid Onsite at Charlotte, NC. Local candidates highly preferred.
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.
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