AI Product Owner
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 6, 2026. CIB Egypt scores A on the Alion truth index.
JOB PURPOSE:
To support the delivery and management of AI products, acting as the day-to-day interface between business stakeholders and engineering delivery teams. The role is responsible for managing the AI product backlog, defining and refining user stories and acceptance criteria, coordinating sprint activities, and tracking delivery progress to ensure AI initiatives are executed in alignment with business requirements and product roadmap priorities.
The AI Product Owner works closely with the AI Product Head to translate strategic product objectives into well-structured, sprint-ready requirements, and with engineering and data teams to facilitate clear and efficient delivery execution.
KEY ACCOUNTABILITIES:
Roles and Responsibilities
1. Manage and maintain the AI product backlog, ensuring all items are clearly defined, appropriately prioritized, and sprint-ready in collaboration with the AI Product Head and engineering delivery teams.
2. Write detailed user stories, acceptance criteria, and functional requirements for AI product features and initiatives, translating business needs into actionable engineering specifications that guide development teams.
3. Facilitate sprint planning, backlog refinement, and sprint review ceremonies, coordinating between business stakeholders and the AI engineering team to maintain delivery momentum and alignment.
4. Act as the day-to-day point of contact for business stakeholders and end users, gathering requirements, communicating delivery progress, and managing expectations on scope, timelines, and outcomes.
5. Collaborate with the AI Engineering Manager and AI Solution Architect to validate technical feasibility of requirements, incorporate engineering constraints into sprint planning, and resolve specification ambiguities.
6. Track and report on sprint delivery progress, backlog health, and release milestones, escalating risks, blockers, and scope changes to the AI Product Head in a timely manner.
7. Coordinate user acceptance testing activities for AI product releases, working with business users to define test scenarios, facilitate testing sessions, and confirm acceptance of delivered functionality.
8. Support the AI Product Head in maintaining business cases and benefit tracking frameworks, gathering data on usage metrics, adoption rates, and business KPIs post-deployment.
9. Maintain up-to-date product documentation, including product specifications, feature release notes, and user guides, ensuring documentation is accessible and accurate for both technical and business audiences.
10. Work with Enterprise Data & AI Governance and Risk functions to ensure product requirements incorporate applicable governance, compliance, and risk management considerations from the outset.
11. Support AI product adoption efforts by contributing to onboarding materials, training content, and user feedback collection mechanisms that drive sustained utilization of deployed AI capabilities.
Policies, Processes and Procedures
12. Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner
Day- to-day operations
13. Follow the day-to-day operations related to own jobs in the AI Product department to ensure continuity of work
14. Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of conduct in order to maintain CIB’s sound legal position and mitigate any potential risks
JOB PURPOSE:
To support the delivery and management of AI products, acting as the day-to-day interface between business stakeholders and engineering delivery teams. The role is responsible for managing the AI product backlog, defining and refining user stories and acceptance criteria, coordinating sprint activities, and tracking delivery progress to ensure AI initiatives are executed in alignment with business requirements and product roadmap priorities.
The AI Product Owner works closely with the AI Product Head to translate strategic product objectives into well-structured, sprint-ready requirements, and with engineering and data teams to facilitate clear and efficient delivery execution.
KEY ACCOUNTABILITIES:
Roles and Responsibilities
1. Manage and maintain the AI product backlog, ensuring all items are clearly defined, appropriately prioritized, and sprint-ready in collaboration with the AI Product Head and engineering delivery teams.
2. Write detailed user stories, acceptance criteria, and functional requirements for AI product features and initiatives, translating business needs into actionable engineering specifications that guide development teams.
3. Facilitate sprint planning, backlog refinement, and sprint review ceremonies, coordinating between business stakeholders and the AI engineering team to maintain delivery momentum and alignment.
4. Act as the day-to-day point of contact for business stakeholders and end users, gathering requirements, communicating delivery progress, and managing expectations on scope, timelines, and outcomes.
5. Collaborate with the AI Engineering Manager and AI Solution Architect to validate technical feasibility of requirements, incorporate engineering constraints into sprint planning, and resolve specification ambiguities.
6. Track and report on sprint delivery progress, backlog health, and release milestones, escalating risks, blockers, and scope changes to the AI Product Head in a timely manner.
7. Coordinate user acceptance testing activities for AI product releases, working with business users to define test scenarios, facilitate testing sessions, and confirm acceptance of delivered functionality.
8. Support the AI Product Head in maintaining business cases and benefit tracking frameworks, gathering data on usage metrics, adoption rates, and business KPIs post-deployment.
9. Maintain up-to-date product documentation, including product specifications, feature release notes, and user guides, ensuring documentation is accessible and accurate for both technical and business audiences.
10. Work with Enterprise Data & AI Governance and Risk functions to ensure product requirements incorporate applicable governance, compliance, and risk management considerations from the outset.
11. Support AI product adoption efforts by contributing to onboarding materials, training content, and user feedback collection mechanisms that drive sustained utilization of deployed AI capabilities.
Policies, Processes and Procedures
12. Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner
Day- to-day operations
13. Follow the day-to-day operations related to own jobs in the AI Product department to ensure continuity of work
14. Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of conduct in order to maintain CIB’s sound legal position and mitigate any potential risks
Qualifications & Experience
Bachelor’s degree in Business Administration, Computer Science, Information Systems, or a related field.
AI Product Owner: 3-5 years of experience in product ownership, business analysis, or technology delivery coordination, with exposure to AI, data, or advanced analytics product contexts preferred.
Demonstrated experience writing user stories, managing product backlogs, and facilitating agile delivery ceremonies in a cross-functional development environment.
Solid understanding of agile delivery frameworks and sprint-based software development, with practical experience using backlog management tools such as Jira, or equivalent.
Familiarity with AI concepts and the AI development lifecycle, sufficient to translate business requirements into engineering-ready specifications and engage credibly with technical delivery teams.
Experience coordinating user acceptance testing, gathering stakeholder feedback, and managing requirement clarifications across business and technical teams.
Exposure to financial services or regulated environments is advantageous, particularly familiarity with change management processes, approval workflows, and compliance documentation requirements.
Skills
Strong requirement articulation and documentation skills, with the ability to write clear, detailed, and testable user stories and acceptance criteria.
Effective stakeholder communication and facilitation skills, with the ability to manage requirements workshops, sprint ceremonies, and feedback sessions across business and technical audiences.
Good organizational skills, with the ability to manage a complex product backlog, track multiple delivery workstreams concurrently, and maintain clarity on priorities and progress.
Analytical mindset with the ability to evaluate business requirements, identify gaps or conflicts, and resolve ambiguities in collaboration with stakeholders and engineering teams.
Collaborative working style with the ability to build effective relationships across business users, AI engineers, data scientists, and governance functions.
Proactive approach to risk identification, with the ability to flag delivery blockers, scope risks, and dependency issues early and escalate appropriately.
Good written communication skills, with the ability to produce product documentation, release notes, and status reports that are clear and accessible to both technical and non-technical audiences.
Qualifications & Experience
Bachelor’s degree in Business Administration, Computer Science, Information Systems, or a related field.
AI Product Owner: 3-5 years of experience in product ownership, business analysis, or technology delivery coordination, with exposure to AI, data, or advanced analytics product contexts preferred.
Demonstrated experience writing user stories, managing product backlogs, and facilitating agile delivery ceremonies in a cross-functional development environment.
Solid understanding of agile delivery frameworks and sprint-based software development, with practical experience using backlog management tools such as Jira, or equivalent.
Familiarity with AI concepts and the AI development lifecycle, sufficient to translate business requirements into engineering-ready specifications and engage credibly with technical delivery teams.
Experience coordinating user acceptance testing, gathering stakeholder feedback, and managing requirement clarifications across business and technical teams.
Exposure to financial services or regulated environments is advantageous, particularly familiarity with change management processes, approval workflows, and compliance documentation requirements.
Skills
Strong requirement articulation and documentation skills, with the ability to write clear, detailed, and testable user stories and acceptance criteria.
Effective stakeholder communication and facilitation skills, with the ability to manage requirements workshops, sprint ceremonies, and feedback sessions across business and technical audiences.
Good organizational skills, with the ability to manage a complex product backlog, track multiple delivery workstreams concurrently, and maintain clarity on priorities and progress.
Analytical mindset with the ability to evaluate business requirements, identify gaps or conflicts, and resolve ambiguities in collaboration with stakeholders and engineering teams.
Collaborative working style with the ability to build effective relationships across business users, AI engineers, data scientists, and governance functions.
Proactive approach to risk identification, with the ability to flag delivery blockers, scope risks, and dependency issues early and escalate appropriately.
Good written communication skills, with the ability to produce product documentation, release notes, and status reports that are clear and accessible to both technical and non-technical audiences.