Senior Business Analyst (Insurance AI Transformation)
New
G
Gramian ConsultancyInsurance IT Consulting
Poland. Czechia. Bosnia and Herzegovina. Croatia. Romania. France. Europe-based, preferably CEE; remoteContractSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5–10 years
- Required Skills
- Artificial IntelligenceBusiness AnalysisData analytics
Requirements
- Approximately 5–10 years of professional Business Analysis experience.
- Strong experience working in the insurance industry.
- Proven experience translating complex business rules into functional requirements and user stories.
- Strong experience with process mapping, workflow analysis, and business-process optimization.
- Experience facilitating requirements workshops with both business and technical stakeholders.
- Hands-on experience defining UAT criteria and supporting business validation.
- Experience working on digital transformation, automation, data, or AI-related delivery initiatives.
- Fluent professional English.
- Experience with insurance claims, underwriting, policy administration, customer service, or related core insurance processes.
- Experience working with legacy insurance platforms and complex business-rule environments.
- Exposure to AI, automation, analytics, or intelligent workflow transformation.
Responsibilities
- Collaborate with insurance business units to identify, prioritize, and define high-impact AI use cases.
- Translate complex business problems and legacy insurance rules into detailed functional requirements.
- Create clear user stories, process definitions, and business acceptance criteria.
- Map and analyze end-to-end insurance workflows to identify automation and optimization opportunities.
- Facilitate requirement workshops and collaborative design sessions between business and technical teams.
- Act as the bridge between business stakeholders, data/AI teams, and engineering squads.
- Define objective UAT criteria and validate delivered AI capabilities against business expectations.
- Conduct gap analyses between new AI capabilities and existing customer-facing processes and channels.
- Support prioritization, scope clarification, and requirement refinement throughout delivery.
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