AI Business Analyst - Edinburgh

FDM is a global business and technology consultancy seeking an AI Business Analyst to work for our client within the Financial Services sector. This is initially a 6 month contract with the potential to extend and will be a hybrid role that will be based in Edinburgh.

As a Business Analyst, you'll work in a small, AI-enabled team, partnering closely with an engineer to build in short daily cycles. You will help define requirements for agents and automations, write instructions and evaluate answers and behaviours. You will partner closely with an engineering lead, testers, and the wider delivery stream to resolve cross team dependencies and align on priorities. You will also partner closely with business stakeholders to understand their needs and develop a detailed understanding of our internal processes and systems and be able to translate that into functionality and automations. You will also help improve our analysis processes.

Key Responsibilities:

• Lead requirements discovery and definition from stakeholder workshops to user stories, including what the AI agents and automations, need to extract, rules and guardrails that follow our internal processes
  
• Use AI tools, agents and prompts in your day-to-day work, and write clear requirements and instructions and be able to evaluate and improve output.
  
• Work closely with Product Owners, Test, Engineering and Business Stakeholders to translate complex business and system processes into functional and non-functional requirements.
  
• Spot processes that can be automated or handed to AI, and judge whether it's feasible and worth doing
  
• Use systems thinking and root-cause analysis to break down processes or trouble shoot problems
  
• Work closely with the QA and UAT teams to support testing of new solutions, including using AI to test faster, build evaluations or improve AI automations accuracy.
  
• Document business rules, data mappings and decisions so the team can pick them up easily, in short cycles, using AI tooling.