AI Enablement Product Owner

NTT Data, Inc.

• $112K — $135K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-12 years of experience in product management and Agile methodologies.
  • Proficient in business problem framing and use-case prioritization.
  • Knowledgeable about LLMs, RAG, and agentic AI methodologies.
  • Skilled in defining acceptance criteria for functionality and non-functionality.
  • Experienced in navigating responsible AI, model-risk, and security frameworks.
  • Familiar with product analytics and measuring business value through adoption metrics.
  • Strong executive communication skills and stakeholder facilitation expertise.

Responsibilities

  • Facilitate the framing of business problems to identify AI solutions.
  • Manage the intake, prioritization, feasibility, and alignment of use-cases with roadmaps.
  • Create detailed product epics, user stories, and acceptance criteria.
  • Coordinate with a range of stakeholders including data and engineering teams.
  • Define and track KPIs related to business impact and model quality.
  • Support the selection and design of AI models and evaluations.
  • Ensure compliance with responsible AI guidelines and risk management protocols.
  • Drive user acceptance and oversee post-release outcome tracking.

Benefits

  • Opportunity to work at the intersection of AI and business innovation.
  • Collaborative environment with cross-functional teams.
  • Access to cutting-edge technology and AI solutions.
  • Potential for professional growth in a regulated industry.
  • Involvement in impactful projects that contribute to business outcomes.
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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