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Business Analyst – Job Description
Specializing in AI-Driven Test Generation and Knowledge Structuring
Overview
We are seeking a skilled Business Analyst to join our innovative team. This role focuses on
analyzing software applications to support AI-driven test generation and manual learning input,
ensuring optimal outcomes in application validation and structured knowledge transfer. The
successful candidate will collaborate closely with the Learning Team and other stakeholders to
document requirements, model processes, and implement advanced knowledge structuring
techniques.
Key Responsibilities
• Analyze target applications to identify key workflows and scenarios relevant for manual
learning input and AI-driven test generation.
• Elicit and document requirements to ensure comprehensive test coverage, collaborating
with stakeholders and subject matter experts.
• Translate in-depth application knowledge into structured input for the Learning Team
and formulate criteria for asset validation.
• Create structured knowledge templates that facilitate consistent and efficient learning
input.
• Develop robust validation criteria frameworks to support the evaluation and acceptance
of tested assets.
• Establish business logic complexity assessments to help prioritize AI generation efforts
based on strategic importance and technical feasibility.
• Implement advanced knowledge structuring techniques to optimize information for AI
consumption.
• Act as a liaison between business users, technical teams, and AI specialists, fostering
effective AI-human collaboration patterns.
• Communicate effectively with Arabic-speaking stakeholders to ensure accurate
requirements elicitation and documentation.
Required Skills and Qualifications
• Proven experience in business analysis, including requirements elicitation and
documentation.
• Strong process modeling skills, particularly with BPMN (Business Process Model and
Notation).
• Expertise in use case documentation and translating business needs into structured
technical requirements.
• Excellent communication and stakeholder management skills, with the ability to work
cross-functionally.
• Solid understanding of software applications and their operational contexts.
• Demonstrated ability in designing validation frameworks and structured data templates.
• Familiarity with knowledge structuring techniques for AI and human collaboration.
• Experience in developing business logic complexity assessments and prioritization
frameworks.
• Ability to work independently and as part of a multidisciplinary team.
Preferred Qualifications
• Bachelor’s or Master’s degree in Business Analysis, Computer Science, Information
Systems, or a related field.
• Experience working with AI-driven test generation or machine learning projects.
• Prior involvement in learning teams or knowledge management initiatives.
• Certification in Business Analysis (CBAP, PMI-PBA, or equivalent) is a plus.