1. Research and Trend Analysis:
- Stay informed on the latest developments and trends in Generative AI and relevant IT technologies.
- Identify opportunities to apply Generative AI to enhance banking operations, optimize business processes, and improve customer experience..
2. Business Requirements Analysis:
- Collaborate with business users, system analysts, and stakeholders to gather and clarify requirements.
- Analyze existing business processes, identify inefficiencies, and determine areas where Generative AI can bring improvements.
- Provide consultation and recommendations for optimized processes aligned with business objectives.
3.Solution Proposal and Use Case Design:
- Propose technology solutions and system enhancements to address business needs.
- Work closely with cross-functional teams to define and prioritize Generative AI use cases and application scenarios.
- Ensure proposed solutions are feasible, scalable, and aligned with the bank’s technology strategy
4. Implementation Support:
- Collaborate with development and product teams to translate business requirements into functional and technical specifications.
- Support solution design, configuration, and integration into the AI Platform.
- Provide Level 3 functional support for complex incidents related to AI solutions.
- Coordinate with development and operations teams to ensure smooth deployment into test, pilot, and production environments
5.Testing and Evaluation:
- Develop and review test plans for Generative AI features and integrated business functions.
- Evaluate AI model performance, accuracy, and compliance with operational standards.
- Recommend adjustments to improve model response quality.
6. Documentation and Communication:
- Produce clear and comprehensive documentation, including Business Requirement
- Documents (BRD), process flows, user stories, and functional specifications.
- Communicate solution designs, implementation progress, and testing results effectively to both technical and non-technical stakeholders.
- Maintain updated records of business rules, reports, dashboards, and operational guidelines.
7.Other tasks as line manager’s assignment
- Perform other assignments as directed by the line manager in alignment with the bank’s AI strategy and roadmap
1. Educational Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Business Administration, Data Science, or related field.
- Equivalent professional experience in system analysis and AI-related projects may be considered.
2. Relevant Experience
- Minimum 3 years of experience in IT business analysis or system analysis, preferably in the banking or financial services industry.
- At least 1 years of experience working with AI or Generative AI projects, including defining use cases and collaborating with technical teams.
- Demonstrated experience in translating complex business requirements into functional and technical specifications.
- Proven track record in defunctional collaboration.livering projects involving process optimization, technology adoption, and cross
3. Relevant Knowledge/ Expertise
- Strong understanding of banking operations, products, and end-to-end business processes (preferred).
- In-depth knowledge of business process analysis, requirement gathering techniques, and system design principles.
- Familiarity with Generative AI concepts, prompt engineering, and AI model evaluation metrics.
- Understanding of system development life cycle (SDLC) and business application life cycle.
- Awareness of IT architecture, security, compliance, and scalability considerations for AI-enabled systems.
- Knowledge of tools for process modeling, documentation, and requirement management.
4. Skills
- Excellent analytical and problem-solving skills with the ability to identify root causes and recommend effective solutions.
- Strong communication skills, both verbal and written, to interact with technical and non-technical stakeholders.
- Good facilitation skills for workshops and requirement gathering sessions.
- Ability to design clear and precise Business Requirement Documents (BRD), process flows, and functional specifications.
- Effective time management, prioritization, and organizational skills to handle multiple tasks/projects.
- Collaboration skills for working with cross-functional teams, including development, operations, and business units.
- Adaptability to new technologies and changing business needs.
5. Other Skills
- Proactive, detail-oriented, and quality-focused mindset.
- “Can-do” attitude with resilience in problem-solving and decision-making under pressure.
- Ability to work independently while maintaining team alignment.
- English proficiency in reading and writing (mandatory), speaking and listening (preferred).
- Commitment to self-development to stay up-to-date with emerging technologies and AI trends.
