AI Product Owner

AI Product Owner

Must Have Technical/Functional Skills

1. Strong experience as a Product Owner/Product Manager delivering enterprise technology or AI-driven products.

2. Strong understanding of SAFe Agile, including ARTs, PI Planning, Features, Stories, WSJF prioritization, and Agile delivery practices.

3. Experience managing product backlogs, roadmaps, requirements, acceptance criteria, and release priorities.

4. Good understanding of Artificial Intelligence, Machine Learning, Generative AI, LLMs, NLP, intelligent automation, and AI agents.

5. Familiarity with AI/cloud ecosystems such as AWS, Microsoft Azure, or Google Cloud.

6. Understanding of API integration, data platforms, cloud architecture, MLOps, and enterprise application environments.

7. Experience defining business cases and measuring ROI/business outcomes for AI initiatives.

8. Strong knowledge of Responsible AI, data privacy, security, model risk, and AI governance concepts.

9. Strong stakeholder management, facilitation, communication, and decision-making skills.

10. Experience working across distributed, cross-functional Agile teams.

11. Prioritize, refine, and manage the product backlog

12. Interview users, stakeholders, and business leaders to understand key priorities, capabilities, limitations, and overall vision.

13. Technically competent in writing technical user stories. Experience working in reporting applications

14. Significant experience working in java development along with strong Agile ceremony discipline

15. Able to understand supporting data domains -customer, claims, benefits, eligibility and enrollment

16. Work with peer product owners to articulate the specifics of a feature and the value it delivers thru sprint and product demos

17. Stakeholder Engagement & Management, Client & Vendor Relations, Team Mentoring, People Management, Cross-Functional proactive Communication & Workshop Facilitation etc.

18. Lead compelling demos, within the Agile Release Train (ART) to showcase cross-team demos of common features and Epics 19. Coordinate UAT planning and execution for ongoing product releases, improving release cycle efficiency and defect resolution times.

20. Work with scrum masters and agile teams to ensure product artifacts meet the definition of ready and definition of done

21. Develop and track progress against a product roadmap to build enhancing capabilities over time

22. Manage impediments and problems, resolve issues, and fix broken processes where possible

23. Be open to feedback from business partners, teams, and peers; willing to give feedback

24. Participate in agile ceremonies; provide coaching where applicable

25. Align with other product managers when needed from an overall product, organization, or cross-ART perspective

Roles & Responsibilities

1. Define and maintain the AI product vision, roadmap, objectives, and prioritized backlog aligned with business strategy.

2. Own and prioritize features, user stories, enablers, and acceptance criteria for AI/ML and Generative AI solutions.

3. Partner with business stakeholders to identify and prioritize high-value AI use cases based on business value, feasibility, risk, and adoption potential.

4. Work closely with Data Scientists, AI /ML Engineers, Architects, Data Engineers, UX, Security, and Platform teams throughout the product lifecycle.

5. Serve as the Product Owner within a SAFe Agile Release Train (ART) and actively participate in PI Planning, backlog refinement, iteration planning, system demos, and Inspect & Adapt activities.

6. Translate business requirements into clear functional requirements and actionable stories for Agile teams.

7. Define measurable product outcomes and KPIs, including business value, adoption, quality, efficiency, and AI solution effectiveness.

8. Drive MVP development, experimentation, feedback, and iterative enhancement of AI products.

9. Ensure AI capabilities meet enterprise requirements for security, privacy, governance, compliance, explainability, and responsible AI.

10. Manage dependencies across teams, platforms, data sources, APIs, and enterprise systems.

11. Partner with Product Management and business leadership to communicate roadmap, progress, risks, dependencies, and product outcomes.

12. Drive change management and adoption to ensure AI capabilities deliver sustainable business value.

13. Prioritize, refine, and manage the product backlog

14. Interview users, stakeholders, and business leaders to understand key priorities, capabilities, limitations, and overall vision.

15. Work with peer product owners to articulate the specifics of a feature and the value it delivers thru sprint and product demos

16. Stakeholder Engagement & Management, Client & Vendor Relations, Team Mentoring, People Management, Cross-Functional proactive Communication & Workshop Facilitation etc. 2

17. Lead compelling demos, within the Agile Release Train (ART) to showcase cross-team demos of common features and Epics 18. Coordinate UAT planning and execution for ongoing product releases, improving release cycle efficiency and defect resolution times.

19. Work with scrum masters and agile teams to ensure product artifacts meet the definition of ready and definition of done

20. Develop and track progress against a product roadmap to build enhancing capabilities over time

21. Manage impediments and problems, resolve issues, and fix broken processes where possible

22. Be open to feedback from business partners, teams, and peers; willing to give feedback

23. Participate in agile ceremonies; provide coaching where applicable

24. Align with other product managers when needed from an overall product, organization, or cross-ART perspective