Business Analyst (with AI Experience)

We are seeking an experienced AI Business Analyst with hands-on AI experience to identify, assess, and shape practical AI-enabled solutions. You will work closely with business and technical stakeholders to translate real operational needs into clear requirements, measurable success criteria, and responsible implementation approaches.

Responsibilities:

• Assess business processes to identify automation and AI opportunities, evaluating expected benefits, costs, feasibility, dependencies, and risks.
  
• Lead discovery sessions with business stakeholders to understand pain points, process variations, data availability, controls, and desired outcomes.
  
• Write clear functional requirements and user stories for AI-enabled features, including document intelligence and extraction, conversational assistants, classification and decisioning, and intelligent routing.
  
• Define what good looks like for AI features, including accuracy thresholds, confidence handling, fallback paths, human-in-the-loop processes, exception management, and audit requirements.
  
• Support business-side model evaluation by assessing AI outputs against real cases, helping structure representative evaluation datasets, documenting results, and identifying limitations.
  
• Translate AI findings into actionable recommendations, acceptance criteria, process changes, operating procedures, and implementation priorities.
  
• Clearly communicate AI capabilities, assumptions, risks, and limitations to non-technical stakeholders, and recognize when a rules-based or conventional solution is more appropriate.
  
• Collaborate with product, engineering, data, security, compliance, and operations teams throughout design, delivery, testing, rollout, and continuous improvement.
  

Requirements

• Hands-on experience working with AI-enabled products, prototypes, or solutions, with direct involvement in use-case discovery, requirements definition, testing, or evaluation.
  
• 5+ years of experience in business analysis, process improvement, product analysis, automation, digital transformation, or a related role.
  
• Strong ability to map business processes, identify inefficiencies, assess solution options, and build clear business cases covering value, cost, risk, and feasibility.
  
• Experience writing functional requirements, user stories, acceptance criteria, process flows, and exception scenarios for technology-enabled solutions.
  
• Practical understanding of AI concepts such as model outputs, confidence levels, evaluation datasets, accuracy, false positives and negatives, human oversight, and responsible fallback handling.
  
• Strong analytical and problem-solving skills, with the ability to assess AI outputs against business context and document limitations objectively.
  
• Excellent stakeholder management and communication skills, with the ability to explain complex AI concepts clearly to business and non-technical audiences.
  
• Ability to work collaboratively across business and technical teams; familiarity with data privacy, security, compliance, or audit considerations is an advantage