Enterprise Business Analyst – AI Enablement

Skills, Competencies and Experience

The successful candidate will be required to have the following skills and competencies:

• A Bachelor’s degree in Business, Information Technology, Information Systems, Statistics, Economics, Engineering, or a related field.
  
• A Master’s degree or Professional certification in Business Analysis, Agile Delivery, Product Ownership, Process Improvement, or Project Management will be an added advantage.
  
• Exposure or training in AI, analytics, automation, process redesign, or data governance will be an added advantage.
  
• A minimum of 5 years’ relevant experience in Business Analysis, Process Improvement, Transformation, Digital Delivery, Product Delivery, or Analytics-Enabled Change within a complex organization.
  
• Strong capability in requirements elicitation, process analysis, business case development, stakeholder engagement, and benefits tracking.
  
• Experience working across business, technology, operations, data, governance, compliance, and risk teams.
  
• Strong analytical, facilitation, communication, and documentation skills with the ability to simplify complex concepts into practical business language.
  
• A good understanding of digital delivery, systems integration, customer journeys, operational processes, and data-driven solution design.
  

• Identify and translate AI and digital transformation opportunities into clear business requirements, use cases, process improvements, and measurable business outcomes.
  
• Conduct business case development, feasibility assessments, impact analysis, benefits tracking, and value realization activities for AI and transformation initiatives.
  
• Collaborate with cross-functional teams to support AI solution design, testing, implementation, rollout, and adoption across the business.
  
• Drive continuous improvement, stakeholder alignment, change management, and operational readiness for AI-enabled solutions.
  
• Ensure all initiatives comply with governance, risk, audit, regulatory, and operational control requirements through proper documentation, traceability, and risk management.