Product Owner With AI

Newt Global
Irving, TX, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence JIRA Data Governance Natural Language Processing Scrum Methodology Large Language Models Model Validation Atlassian Tools

Job description

  • Own the product vision, roadmap, and backlog, ensuring alignment with business goals and stakeholder priorities.
  • Act as a Product Owner and Business Analyst, translating business needs into features, user stories, functional requirements, and acceptance criteria.
  • Identify and define AI/GenAI use cases and drive AI initiatives from requirements through implementation and production.
  • Partner with AI/ML, Data Science, Engineering, and business teams to translate requirements into scalable solutions.
  • Conduct requirements gathering, process analysis, gap analysis, workflow mapping, and functional documentation.
  • Lead backlog refinement and story decomposition sessions with technology teams.
  • Define business requirements for AI data inputs/outputs, workflows, integrations, and expected outcomes.
  • Support testing, UAT, release activities, and acceptance of completed work.
  • Track post-launch performance, business value, adoption, and opportunities for enhancement.
  • Manage dependencies, risks, stakeholder expectations, and feedback throughout the product lifecycle.
  • Participate in Agile/Scrum ceremonies and ensure alignment with the Product Manager’s vision.
  • Apply strong knowledge of the Risk domain, preferably Operational Risk, to product and AI initiatives.

Requirements

  • Bachelor’s degree or equivalent.
  • 7+ years of experience in Agile environments with strong experience as a Product Owner and/or Business Analyst, preferably within Banking/Financial Services.
  • Hands-on experience with AI/ML or GenAI implementation, ideally taking AI use cases from business requirements through production.
  • Strong experience in requirements gathering, user stories, acceptance criteria, backlog management, process analysis, and UAT.
  • Experience collaborating with AI/ML, Data Science, Engineering, and business teams.
  • Strong understanding of Risk, preferably Operational Risk.
  • Excellent stakeholder management, analytical, problem-solving, and communication skills.
  • Experience with Agile/Scrum tools such as Jira/Atlassian and MS Teams.
  • Product Owner/Agile certifications preferred.

Preferred

  • AI/GenAI implementation experience within Banking, Risk, Compliance, or Financial Services.
  • Exposure to GenAI/LLMs, NLP, intelligent automation, predictive analytics, or AI-driven risk solutions.
  • Understanding of Responsible AI, AI governance, data governance, and model risk.

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