> Markdown version of [/jobs/ext/3041042-product-owner-ai](https://www.wearedevelopers.com/jobs/ext/3041042-product-owner-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - AI - **Company:** Sedgwick - **Location:** Memphis, TN, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Systems, Machine Learning, Requirements Management, Software Requirements Analysis, Data Analytics, Machine Learning Operations - **Published:** September 23, 2026 - **Apply:** https://dejobs.org/x/x/6783CDDAB30C416FBA5C7ADCED3E570D/job/ ## About the Role Bachelor's degree in Business Administration, Information Systems, or a related field from an accredited college or university preferred. Equivalent combination of education, professional certifications, and relevant work experience will be considered. Experience *Five (5) years of related experience or an equivalent combination of education and experience required. *Experience performing business analysis, requirements definition, or supporting product delivery required. *Experience in claims, insurance, healthcare, or other regulated operational environments preferred. *Experience working within agile or hybrid delivery teams preferred. *Experience supporting AI, machine learning, or data-driven product initiatives preferred. Skills & Knowledge * Strong product and requirements documentation skills. * Ability to translate business needs into detailed user stories and acceptance criteria. * Familiarity with agile delivery practices and backlog management. * Ability to assess scope, dependencies, and delivery complexity. * Strong analytical, problem-solving, and organizational skills. * Experience tracking delivery metrics and supporting OKR reporting. * Ability to understand and communicate budget impacts and delivery trade-offs. * Excellent verbal and written communication skills. * Strong cross-functional collaboration and stakeholder management skills. * Ability to meet or exceed performance competencies. WORK ENVIRONMENT When applicable and appropriate, consideration will be given to reasonable accommodations. Mental : Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines Physical : Computer keyboarding, travel as required Auditory/Visual : Hearing, vision and talking ## Description *Partners with Product Managers on backlog refinement and prioritization, including sequencing work based on value, dependencies, and capacity. *Defines development-ready stories and requirements by breaking down epics and features into user stories, defines acceptance criteria, and documents high-level non-functional requirements. *Executes delegated Product Manager responsibilities when PM capacity or capability is limited, ensuring continuity of product execution. *Collaborates with development teams to ensure stories are well understood and aligned with business outcomes. *Validates solutions aligned to the business units by participating in and supporting User Acceptance Testing to confirm delivered functionality meets defined requirements and acceptance criteria. *Measures visibility into delivery and outcomes by tracking and reporting to stakeholders to surface risks, dependencies, and performance insights. *Partners with Data Scientists, ML Engineers, and MLOps teams to translate AI/ML capabilities into backlog items, and defines acceptance criteria that account for model behavior, data dependencies, and performance thresholds. ADDITIONAL FUNCTIONS and RESPONSIBILITIES *Raises risks, capacity concerns, and reallocation recommendations to Product Managers. *Supports sprint ceremonies by clarifying requirements and answering questions during delivery. *Supports product demos, walkthroughs, and stakeholder communications. *Serves as a subject matter resource for solution workflows and capabilities. *Monitors deployed AI features for performance, drift, and user feedback, and works with technical teams to surface retraining or tuning needs as backlog items. *Performs other duties as assigned. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Microservices? Monoliths? 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