Job description
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