AI Business Analyst

Job Title: AI Business Analyst

Experience: 48 Years

Employment Type: Full-Time

Location: Sydney/Melbourne

Job Role

We are looking for an AI Business Analyst who can work closely with customers and business stakeholders to identify business challenges translate them into AI-driven use cases and partner with data scientists and engineering teams to shape solutions that actually work in practice.

The role requires strong business analysis skills combined with solid conceptual knowledge of AI and Generative AI enough to have credible detailed conversations with technical teams and challenge whats realistic without needing to build the solution personally. The candidate acts as the bridge between business stakeholders customers and technical teams. Experience in financial services is a plus given the domain of this engagement.

Roles & Responsibilities

• Engage with customers and business stakeholders to understand business processes challenges objectives and requirements.
• Identify and evaluate opportunities for AI Machine Learning Generative AI and automation to solve business problems.
• Translate business requirements into AI use cases user stories functional requirements workflows and acceptance criteria.
• Analyse existing business processes and identify where AI can improve productivity accuracy or customer experience.
• Partner with Data Scientists ML Engineers and Software Engineers to shape and refine AI solution design asking the right questions not writing the code.
• Act as the functional bridge between customers and internal engineering teams ensuring requirements are understood correctly on both sides.
• Support POCs and pilots by defining success criteria validating outputs against business intent and gathering stakeholder feedback.
• Understand LLMs RAG AI Agents prompt engineering and embeddings well enough to assess whether a proposed solution will realistically meet the business need.
• Evaluate AI outputs for accuracy relevance and business suitability flagging gaps for the technical team to address.
• Work with technical teams to understand APIs data sources and integration constraints as they affect requirements (not to build the integrations).
• Support data analysis and validation of business assumptions using SQL and other analytical tools.
• Support UAT by defining test scenarios and validating results against business requirements.
• Prepare and maintain BRDs FRDs user stories process flows and functional specifications.
• Track requirements risks issues dependencies and deliverables.
• Run solution demonstrations and communicate AI capabilities and outcomes to customers and stakeholders in plain business language.
• Stay current on emerging AI/GenAI trends and spot where they apply to real business problems.

Must-Have Skills

• Strong experience in Business Analysis Technical Business Analysis or Solution Consulting.
• Solid conceptual understanding of AI and Generative AI what these systems can and cant reliably do.
• Working knowledge of LLMs RAG and AI Agent concepts (conceptual fluency not hands-on model building).
• Understanding of prompt engineering and how LLM outputs are evaluated.
• Strong experience in requirements gathering documentation and stakeholder management.
• Ability to translate business requirements into functional requirements and AI use cases.
• Strong analytical and problem-solving skills.
• Working understanding of APIs databases and data flows enough to assess feasibility and write accurate requirements.
• Strong communication and presentation skills including explaining technical trade-offs to non-technical stakeholders.
• Experience working directly with customers/business stakeholders.
• Ability to work effectively with Data Scientists ML Engineers and Software Engineers as a peer not a passenger.

Required Skills

• Generative AI / LLM concepts
• RAG and AI Agent concepts
• Business Analysis & Requirements Engineering
• SQL & Data Analysis
• Conceptual understanding of APIs & system integrations
• Agile / Scrum
• UAT & Solution Validation
• Functional & Technical Documentation

Good-to-Have Skills

• Exposure to Python or another programming language (helps you read whats technically feasible not required to write production code).
• Familiarity with OpenAI Azure OpenAI AWS Bedrock Google Vertex AI or similar platforms.
• Awareness of LangChain LlamaIndex Semantic Kernel or similar frameworks.
• Basic understanding of Vector Databases and Embeddings.
• Experience supporting AI/GenAI POCs (as the BA not the builder).
• Experience with enterprise platforms such as SAP Salesforce ServiceNow CRM or ERP systems.
• Awareness of AI Governance Responsible AI and Data Privacy considerations.
• Previous experience in consulting or professional services.
• Domain knowledge in financial services e.g. lending payments wealth management insurance or leasing/asset finance including familiarity with relevant compliance and regulatory considerations (KYC AML data privacy in finance).

Key Competencies

• Customer-centric approach
• Strong business acumen with credible technical fluency
• Excellent analytical and problem-solving ability
• Ability to work in ambiguous fast-changing environments
• Strong stakeholder management
• Excellent verbal and written communication
• Ability to explain complex AI concepts in simple business terms
• Strong collaboration across business and technical teams