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# Product Owner With AI

- **Company:** Newt Global
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, JIRA, Data Governance, Natural Language Processing, Scrum Methodology, Large Language Models, Model Validation, Atlassian Tools
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/0d93afb0-117a-4536-9e3e-81b5ac73d5c3

## About the Role

* 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.

## 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.