We're Hiring: AI Business Analyst!
OverviewWe are seeking a highly skilledAI Business Analystwith strong business and process analysis expertise, specifically within theInsurancedomain. The ideal candidate has hands-on experience inAI / GenAI initiatives, and is capable of defining processes, eliciting requirements, and translating business needs into clear user stories. A solidtechno-functional backgroundis essential to bridge business and technology teams effectively.
Key Responsibilities- Analyze and document current business processes; identify opportunities forAI and GenAI integrationto drive efficiency and automation.
- Work with business stakeholders to elicit, validate, and document requirements and user stories.
- Translate business needs into functional and technical specifications for AI-driven solutions.
- Partner with data science, engineering, and product teams to shape AI solution design and ensure alignment with business goals.
- Support POCs, pilots, and rollout of AI/GenAI initiatives across insurance operations.
- Facilitate workshops, requirement-gathering sessions, and process walkthroughs.
- Conduct impact assessments, gap analyses, and process redesign where necessary.
- Support UAT planning, execution, and user readiness for AI or automation-driven implementations.
- Track AI solution performance post-launch and identify opportunities for continuous improvement.
Required Skills & Experience- 710 yearsof experience as a Business Analyst / Process Analyst.
- Strong domain knowledge inInsurance(e.g., policy, claims, operations).
- Practical experience inAI or GenAIenabled projects, automation, or digital transformation.
- Strong capability in mapping, analyzing, and optimizing business processes.
- Expertise in writing clear and detaileduser stories, requirements documents, and process flows.
- Solidtechno-functionalunderstanding; able to work closely with both business and technical teams.
- Familiarity with Agile methodologies (Scrum, Kanban).
- Excellent communication, stakeholder management, and documentation skills.
Nice to Have- Experience with workflow automation, RPA, or low-code/no-code platforms.
- Exposure to machine learning, NLP, or AI model lifecycle concepts.
- Certifications such as CBAP, Lean Six Sigma, or Agile Product Owner.
