AI Product Owner

Ztek Consulting INC; Philadelphia (Philadelphia County); Remote; USD 120,000 - 180,000; Full time

Job summary

Ztek Consulting INC is seeking an experienced AI Product Owner to lead AI/ML product strategy in a remote setting. You will own the vision, manage backlogs, coordinate across SAFe ARTs, and drive feature delivery with cross-functional teams.

Responsibilities include defining measurable outcomes, prioritizing work, and ensuring governance, security, and explainability for AI initiatives while collaborating with stakeholders to maximize business value.

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.
• Good understanding of Artificial Intelligence, Machine Learning, Generative AI, LLMs, NLP, intelligent automation, and AI agents.
• Familiarity with AI/cloud ecosystems such as AWS, Microsoft Azure, or Google Cloud.

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.

Skills

Product ownership

SAFe Agile

Backlog management

AI/ML knowledge

Stakeholder management

Cross-functional teamwork

User stories writing

Demos & ART coordination

UAT planning

Roadmap development

Release management

Agile ceremonies

Def of ready/done

Java background

Job description

Role: AI Product owner

Location: Remote

Job Type: Fulltime

Experience:8

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.
• 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

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.
• 18. Work with scrum masters and agile teams to ensure product artifacts meet the definition of ready and definition of done
• 19. Develop and track progress against a product roadmap to build enhancing capabilities over time
• 20. Manage impediments and problems, resolve issues, and fix broken processes where possible
• 21. Be open to feedback from business partners, teams, and peers; willing to give feedback
• 22. Participate in agile ceremonies; provide coaching where applicable
• 23. Align with other product managers when needed from an overall product, organization, or cross-ART perspective