AI Product Owner

SFE; Philadelphia (Philadelphia County); On-site; USD 120,000 - 170,000; Full time

Job summary

SFE is seeking an AI Product Owner in Philadelphia to lead AI/ML product vision, backlog, and cross-functional collaboration. The role emphasizes SAFe Agile delivery, backlog refinement, and measurable outcomes for AI initiatives.

The ideal candidate will define features, write user stories, and ensure governance and responsible AI standards across enterprise applications, while coordinating with data and security teams.

Qualifications

• Strong experience as a Product Owner/Product Manager delivering enterprise technology or AI-driven products.
• Strong understanding of SAFe Agile, including ARTs, PI Planning, Features, Stories, WSJF prioritization, and Agile delivery practices.
• Experience managing product backlogs, roadmaps, requirements, acceptance criteria, and release priorities.
• Familiarity with AI/cloud ecosystems such as AWS, Microsoft Azure, or Google Cloud.
• Understanding of API integration, data platforms, cloud architecture, MLOps, and enterprise application environments.
• Experience defining business cases and measuring ROI/business outcomes for AI initiatives.
• Strong knowledge of Responsible AI, data privacy, security, model risk, and AI governance concepts.
• Strong stakeholder management, facilitation, communication, and decision-making skills.

Responsibilities

• Define and maintain the AI product vision, roadmap, objectives, and prioritized backlog aligned with business strategy.
• Own and prioritize features, user stories, enablers, and acceptance criteria for AI/ML and Generative AI solutions.
• Partner with business stakeholders to identify and prioritize high-value AI use cases based on business value, feasibility, risk, and adoption potential.
• Work closely with Data Scientists, AI/ML Engineers, Architects, Data Engineers, UX, Security, and Platform teams throughout the product lifecycle.
• 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.
• Translate business requirements into clear functional requirements and actionable stories for Agile teams.
• Define measurable product outcomes and KPIs, including business value, adoption, quality, efficiency, and AI solution effectiveness.
• Drive MVP development, experimentation, feedback, and iterative enhancement of AI products.

Skills

AI Product Owner

SAFe Agile

Backlog management

AI/ML

Cloud platforms

API integration

ROI measurement

Responsible AI

Stakeholder management

Cross-functional teams

Job description

Role: AI Product Owner
Location: Philadelphia, PA, 19102
Term: Full Time

Job Description

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