VPBANK ★ 3.8

1. Research and Trend Analysis:

• Stay updated on the latest developments in Generative AI and relevant IT technologies.
• Identify and evaluate opportunities to apply Generative AI to enhance banking operations, improve customer experience, and optimize processes.

2. Business Requirements Analysis:

• Collaborate with stakeholders across business units and IT to gather, clarify, and validate requirements.
• Analyze existing business processes, identify inefficiencies, and propose AI-driven optimization solutions.
• Provide consultation to ensure business requirements are aligned with strategic objectives.

3.Solution Proposal and Use Case Design:

• Recommend AI-related technology solutions and enhancements to meet business needs.

• Define and prioritize Generative AI use cases in collaboration with cross-functional teams.
• Ensure proposed solutions align with the bank’s digital transformation strategy.

4. Documentation and Communication:

• Develop and maintain Business Requirement Documents (BRD), process flows, and user stories.

• Present solution designs, implementation progress, and test results to both technical and non-technical stakeholders.
• Maintain updated documentation of business rules, dashboards, and operational guidelines

5. Implementation Support:

• Translate approved business requirements into detailed functional and technical specifications.
• Support solution design, configuration, and integration into the AI platform.
• Coordinate with development, operations, and product teams for smooth deployment in test, pilot, and production environments.
• Provide Level 3 functional support for complex AI-related incidents

6. Testing and Evaluation:

• Develop and review test plans for Generative AI features and related business functions.
• Evaluate AI model performance for accuracy, compliance, and operational readiness.
• Recommend and implement adjustments to improve solution quality and model responses

7. Technical Documentation and Standards

• Maintain detailed functional specifications, system design documents, and integration guides.
• Ensure all system documentation adheres to the bank’s architecture, security, and compliance standards.

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.

Relevant Experience

• Minimum 3-5 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 delivering projects involving process optimization, technology adoption, and cross-functional collaboration.

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.

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.

Others

• 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.