AI Business Analyst

Overall Responsibilities

• Elicit, analyze, and document business needs, goals, and expected KPIs/ROI for AI projects

• Develop comprehensive Business Requirements Documents (BRDs) outlining desired outcomes and success metrics

• Create Functional Specification Documents (FSDs) detailing functional and non-functional requirements, reasoning flows, and integration points with existing systems

• Prepare detailed Use Case Narratives illustrating interactions between users, LLMs, and AI agents, including structured inputs, outputs, and workflows

• Map current workflows and conduct impact analysis, especially regarding the integration of GenAI/Agentic AI into operational processes

• Maintain Requirements Traceability Matrices to link business needs through architecture, testing, and acceptance phases

• Collaborate with stakeholders to ensure AI solutions align with business objectives and technical feasibility

• Facilitate communication between business units and technical teams to support delivery and change management

• Ensure requirement completeness, clarity, and adherence to organizational standards while supporting project timelines

Technical Skills (By Category)

• Programming Languages: Not typically required for this role, but understanding of Python, R, or similar languages is a plus (Preferred)

• Databases/Data Management: Basic familiarity with SQL, NoSQL databases, and data repositories used in AI projects (Preferred)

• Cloud Technologies: Experience with cloud platforms supporting AI development, such as AWS, Azure, or GCP (Preferred)

• Frameworks and Libraries: Knowledge of AI/ML frameworks (TensorFlow, PyTorch, etc.) is advantageous but not mandatory

• Development Tools and Methodologies: Agile/Scrum, requirements management tools, architecture modeling tools (Essential)

• Security Protocols: Awareness of data privacy, security, and compliance standards related to AI and data handling (Preferred)

Experience Requirements

• More than 6 years of business analysis experience in technology or AI-driven projects

• Proven experience working on AI/ML projects, especially implementing GenAI or Large Language Models in business solutions

• Experience with end-to-end project lifecycle, from requirements gathering through deployment and testing

• Familiarity with AI/ML industry standards, best practices, and related compliance policies

Day-to-Day Activities

• Conduct stakeholder interviews to gather detailed business and technical requirements for AI initiatives

• Collaborate with data scientists, ML engineers, and development teams to translate requirements into actionable specifications

• Create and maintain BRDs, FSDs, Use Case Narratives, RTMs, and impact analyses

• Lead workshops and review sessions to validate requirements and gather feedback

• Support testing and validation of AI solutions, ensuring compliance with business needs and KPIs

• Track project progress, evaluate deliverables, and adjust requirements as needed

• Support change management and facilitate communication between stakeholders and project teams

• Monitor AI solution performance post-implementation to ensure alignment with expectations