AI Enablement Product Owner

NTT Data, Inc.

$110K — $130K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-12 years of experience in product management with a focus on AI solutions
  • Strong background in Agile methodologies and backlog ownership
  • Ability to frame complex business problems and prioritize use cases effectively
  • In-depth knowledge of LLMs, RAG, and agentic AI concepts
  • Experience in defining both functional and non-functional acceptance criteria
  • Familiarity with responsible AI practices and governance requirements
  • Skilled in product analytics and measuring business value
  • Proficient in communicating with executives and facilitating stakeholder engagement

Responsibilities

  • Facilitate the identification of business problems and suitable AI solutions
  • Manage use-case intake and prioritize according to feasibility and roadmap alignment
  • Create detailed product epics, user stories, and define acceptance criteria
  • Coordinate among various stakeholders including data and engineering teams
  • Define and evaluate KPIs for business outcomes and model quality
  • Support the design and evaluation of AI models and their human-in-the-loop processes
  • Ensure compliance with responsible AI and model-risk management

Benefits

  • Opportunities for professional development and growth
  • Access to cutting-edge AI technologies
  • Collaborative work environment with multidisciplinary teams
  • Engagement in high-impact projects that drive innovation
  • Potential for flexible working arrangements
Full Job Description
Job Description:
Product Owner in Charlotte, NC or Irving, TX
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.
#LI-NorthAmerica

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