Enterprise AI Product Owner | SAFe | ROI Focus

Q1 Technologies, Inc.; Philadelphia (Philadelphia County); On-site; USD 140,000 - 190,000; Full time

Job summary

Q1 Technologies, Inc. seeks a Product Owner/Manager to lead AI-driven product initiatives across an enterprise technology stack. You will own the AI/ML feature backlog, drive PI planning, and work with Data Scientists, Architects, and Platform teams to deliver measurable business value.

The role requires strong SAFe knowledge, experience with AI governance, and a track record of delivering across distributed Agile teams. Expect collaboration with stakeholders and ongoing demos within the ART.

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.
• 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.
• Experience working across distributed, cross-functional Agile teams.
• Prioritize, refine, and manage the product backlog
• Interview users, stakeholders, and business leaders to understand key priorities, capabilities, limitations, and overall vision.
• Technically competent in writing technical user stories. Experience working in reporting applications
• Significant experience working in java development along with strong Agile ceremony discipline
• Able to understand supporting data domains -customer, claims, benefits, eligibility and enrollment
• Work with peer product owners to articulate the specifics of a feature and the value it delivers thru sprint and product demos
• Stakeholder Engagement & Management, Client & Vendor Relations, Team Mentoring, People Management, Cross-Functional proactive Communication & Workshop Facilitation etc.
• 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.
• Work with scrum masters and agile teams to ensure product artifacts meet the definition of ready and definition of done
• Develop and track progress against a product roadmap to build enhancing capabilities over time
• Manage impediments and problems, resolve issues, and fix broken processes where possible
• Be open to feedback from business partners, teams, and peers; willing to give feedback
• Participate in agile ceremonies; provide coaching where applicable
• Align with other product managers when needed from an overall product, organization, or cross-ART perspective
• 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.
• Ensure AI capabilities meet enterprise requirements for security, privacy, governance, compliance, explainability, and responsible AI.
• Manage dependencies across teams, platforms, data sources, APIs, and enterprise systems.
• Partner with Product Management and business leadership to communicate roadmap, progress, risks, dependencies, and product outcomes.
• Drive change management and adoption to ensure AI capabilities deliver sustainable business value.
• Prioritize, refine, and manage the product backlog
• Interview users, stakeholders, and business leaders to understand key priorities, capabilities, limitations, and overall vision.
• Work with peer product owners to articulate the specifics of a feature and the value it delivers thru sprint and product demos
• Stakeholder Engagement & Management, Client & Vendor Relations, Team Mentoring, People Management, Cross-Functional proactive Communication & Workshop Facilitation etc. 2
• 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.
• Work with scrum masters and agile teams to ensure product artifacts meet the definition of ready and definition of done
• Develop and track progress against a product roadmap to build enhancing capabilities over time
• Manage impediments and problems, resolve issues, and fix broken processes where possible
• Be open to feedback from business partners, teams, and peers; willing to give feedback
• Participate in agile ceremonies; provide coaching where applicable
• Align with other product managers when needed from an overall product, organization, or cross-ART perspective

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.
• Ensure AI capabilities meet enterprise requirements for security, privacy, governance, compliance, explainability, and responsible AI.
• Manage dependencies across teams, platforms, data sources, APIs, and enterprise systems.
• Partner with Product Management and business leadership to communicate roadmap, progress, risks, dependencies, and product outcomes.
• Drive change management and adoption to ensure AI capabilities deliver sustainable business value.
• Prioritize, refine, and manage the product backlog
• Interview users, stakeholders, and business leaders to understand key priorities, capabilities, limitations, and overall vision.
• Work with peer product owners to articulate the specifics of a feature and the value it delivers thru sprint and product demos
• Stakeholder Engagement & Management, Client & Vendor Relations, Team Mentoring, People Management, Cross-Functional proactive Communication & Workshop Facilitation etc. 2
• 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.
• Work with scrum masters and agile teams to ensure product artifacts meet the definition of ready and definition of done
• Develop and track progress against a product roadmap to build enhancing capabilities over time
• Manage impediments and problems, resolve issues, and fix broken processes where possible
• Be open to feedback from business partners, teams, and peers; willing to give feedback
• Participate in agile ceremonies; provide coaching where applicable
• Align with other product managers when needed from an overall product, organization, or cross-ART perspective

Skills

Product Owner

SAFe Agile

Backlog management

Stakeholder management

Cross-functional teamwork

AI/ML understanding

Demos & PI Planning

UAT planning

Java development

API integration

Data privacy governance

Cloud familiarity

Tools

AWS

Azure

Google Cloud

Job description

Q1 Technologies, Inc. seeks a Product Owner/Manager to lead AI-driven product initiatives across an enterprise technology stack. You will own the AI/ML feature backlog, drive PI planning, and work with Data Scientists, Architects, and Platform teams to deliver measurable business value.

The role requires strong SAFe knowledge, experience with AI governance, and a track record of delivering across distributed Agile teams. Expect collaboration with stakeholders and ongoing demos within the ART.