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.