The AI Business Analyst & Adoption role translates business needs into clear, measurable AI requirements and helps staff use approved solutions effectively. The role maps processes, defines user and acceptance needs, supports use-case assessment, and coordinates training, change and adoption activities. It connects technical delivery with practical business outcomes, while retaining human decision responsibilities, responsible use and evidence-based benefits tracking.

Principle Responsibilities

• Engage business teams to identify problems, current workflows, decision points and customer or staff needs before proposing AI solutions.
• Distinguish AI needs from simpler reporting, rules or process improvements and document feasible options with technical colleagues.
• Prepare use-case intake, business requirements, user journeys and acceptance criteria with named business owners and intended users.
• Document expected benefits, current baselines, costs and measurement assumptions with business owners and Finance.
• Identify data requirements, source owners, access needs and quality gaps with data teams; escalate unresolved dependencies.
• Define human review, exception handling, escalation and customer-impact requirements with business and governance stakeholders.
• Translate requirements into prioritised delivery items and maintain traceability through design, testing and business acceptance.
• Support prototypes and demonstrations, capture user feedback and assess whether proposed solutions address the original business need.
• Coordinate user acceptance tests, representative business scenarios, defects and business-owner sign-off; do not substitute these for independent validation.
• Prepare change-impact assessments, communication plans, user guidance and training for approved AI and Microsoft Copilot use.
• Work with HR communications and business champions to deliver training, gather feedback and support practical adoption.
• Measure active use, task completion, output quality, user satisfaction and business-process changes against agreed baselines.
• Investigate low adoption or unsafe workarounds and coordinate corrective actions with product, delivery and governance owners.
• Maintain requirements, acceptance and adoption records; report benefit evidence separately from forecasts, training attendance and licence allocation.
• Support AI governance activities by ensuring business requirements, intended use, human oversight requirements, and adoption considerations are appropriately documented and communicated to governance stakeholders.
• Continuously identify opportunities where approved AI capabilities can improve efficiency, customer experience, decision-making, or risk management across business functions.
• Facilitate stakeholder engagement, project updates, executive reporting, and adoption reviews to ensure alignment between business objectives and AI initiatives.
• Maintain a repository of approved AI use cases, lessons learned, adoption outcomes, and best practices to support continuous organizational learning and reuse.

Qualifications Required

• Bachelors degree in Business Administration, Information Systems, Computer Science, Data Analytics, Economics, Finance, Industrial Engineering, Project Management, Organizational Development, or a related discipline.
• A Master's degree in Business Administration (MBA), Information Systems, Business Analytics, Digital Transformation, Artificial Intelligence, Technology Management, or a related field will be an added advantage.
• Professional certifications or training in Business Analysis, Change Management, Process Improvement, Project Management, Artificial Intelligence, Microsoft Copilot, Digital Transformation, Agile Methodologies, or related disciplines will be an added advantage.
• Business analysis, change management, process improvement or relevant AI training is an added advantage.

Experience

• Minimum of 3 years of experience in business analysis, change management, digital transformation, AI adoption, technology implementation, or business process improvement initiatives.
• Skills in requirements analysis, process mapping, user acceptance testing and stakeholder facilitation.
• Ability to interpret data, define performance measures and communicate AI limitations simply.
• Experience preparing training materials and monitoring adoption; banking process knowledge is an advantage.
• Experience gathering and documenting business requirements, user stories, process maps, use cases, business cases, and acceptance criteria for digital or technology initiatives.
• Knowledge of Artificial Intelligence, Generative AI, Microsoft Copilot, machine learning concepts, and responsible AI principles.
• Experience coordinating user acceptance testing (UAT), stakeholder engagement activities, training programmes, and organizational change initiatives.

• Engage business teams to identify problems, current workflows, decision points and customer or staff needs before proposing AI solutions.
• Distinguish AI needs from simpler reporting, rules or process improvements and document feasible options with technical colleagues.
• Prepare use-case intake, business requirements, user journeys and acceptance criteria with named business owners and intended users.
• Document expected benefits, current baselines, costs and measurement assumptions with business owners and Finance.
• Identify data requirements, source owners, access needs and quality gaps with data teams; escalate unresolved dependencies.
• Define human review, exception handling, escalation and customer-impact requirements with business and governance stakeholders.
• Translate requirements into prioritised delivery items and maintain traceability through design, testing and business acceptance.
• Support prototypes and demonstrations, capture user feedback and assess whether proposed solutions address the original business need.
• Coordinate user acceptance tests, representative business scenarios, defects and business-owner sign-off; do not substitute these for independent validation.
• Prepare change-impact assessments, communication plans, user guidance and training for approved AI and Microsoft Copilot use.
• Work with HR communications and business champions to deliver training, gather feedback and support practical adoption.
• Measure active use, task completion, output quality, user satisfaction and business-process changes against agreed baselines.
• Investigate low adoption or unsafe workarounds and coordinate corrective actions with product, delivery and governance owners.
• Maintain requirements, acceptance and adoption records; report benefit evidence separately from forecasts, training attendance and licence allocation.
• Support AI governance activities by ensuring business requirements, intended use, human oversight requirements, and adoption considerations are appropriately documented and communicated to governance stakeholders.
• Continuously identify opportunities where approved AI capabilities can improve efficiency, customer experience, decision-making, or risk management across business functions.
• Facilitate stakeholder engagement, project updates, executive reporting, and adoption reviews to ensure alignment between business objectives and AI initiatives.
• Maintain a repository of approved AI use cases, lessons learned, adoption outcomes, and best practices to support continuous organizational learning and reuse.

• requirements analysis
• process mapping
• user acceptance testing
• stakeholder facilitation
• Ability to interpret data
• define performance measures
• communicate AI limitations simply
• preparing training materials
• monitoring adoption
• gathering and documenting business requirements
• user stories
• process maps
• use cases
• business cases
• acceptance criteria
• Knowledge of Artificial Intelligence
• Generative AI
• Microsoft Copilot
• machine learning concepts
• responsible AI principles
• coordinating user acceptance testing (UAT)
• stakeholder engagement activities
• training programmes
• organizational change initiatives

• Bachelors degree in Business Administration, Information Systems, Computer Science, Data Analytics, Economics, Finance, Industrial Engineering, Project Management, Organizational Development, or a related discipline.
• A Master's degree in Business Administration (MBA), Information Systems, Business Analytics, Digital Transformation, Artificial Intelligence, Technology Management, or a related field will be an added advantage.
• Professional certifications or training in Business Analysis, Change Management, Process Improvement, Project Management, Artificial Intelligence, Microsoft Copilot, Digital Transformation, Agile Methodologies, or related disciplines will be an added advantage.
• Business analysis, change management, process improvement or relevant AI training is an added advantage.