JOB SUMMARY

Skills, Competencies and Experience

The successful candidate will be required to have the following skills and competencies:A Bachelor’s degree in Business, Technology, Engineering, Information Systems, Economics, Statistics, Product Management, or a related field.Professional certification in Product Management, Agile, Product Ownership, Project Management, Digital Transformation, or AI Product Management will be an added advantage.Exposure or training in AI, analytics, automation, innovation management, customer experience, or data governance will be an added advantage.Minimum of 5 years’ relevant experience in Product Management, Digital Delivery, Innovation, Transformation, Business Technology, or Analytics-Enabled Initiatives.Strong product management capability with experience in roadmap development, prioritization, stakeholder engagement, and value realization.Good understanding of digital delivery, customer journeys, process transformation, adoption management, and technology-enabled business change.Strong analytical, communication, influencing, facilitation, and decision-making capability.Ability to translate complex AI and technology concepts into clear business value propositions for diverse stakeholders.

• Define and drive the Bank’s AI enablement roadmap, priorities, pilots, and portfolio initiatives aligned to business strategy, customer needs, value realization, and delivery readiness.
• Identify, assess, and prioritize AI and analytics opportunities based on business impact, feasibility, customer value, adoption potential, and strategic fit.
• Lead initiative planning, backlog prioritization, stakeholder alignment, governance coordination, performance tracking, and executive reporting across AI programmes.
• Collaborate with cross-functional teams to ensure AI solutions are secure, governed, operationally ready, scalable, and aligned to business objectives.
• Support launch readiness, adoption, change management, benefits realization, and continuous improvement across AI-enabled initiatives.
• Ensure all AI initiatives comply with governance, security, privacy, audit, regulatory, and risk management requirements through proper controls, documentation, and oversight.

• Product management
• Quality management
• Software architecture
• Product development

• Bachelor’s degree in Business, Technology, Engineering, Information Systems, Economics, Statistics, Product Management, or a related field.
• Professional certification in Product Management, Agile, Product Ownership, Project Management, Digital Transformation, or AI Product Management will be an added advantage.
• Exposure or training in AI, analytics, automation, innovation management, customer experience, or data governance will be an added advantage.