Senior Business Analyst (iGaming)

TL;DR

Senior Business Analyst (iGaming): Own requirements for sportsbook, AI chatbot, and backoffice modules with an accent on production-quality user stories, acceptance criteria, and Lean AI-SDLC workflows. Focus on facilitating discovery, refinement, and delivery cycles, aligning stakeholders and engineering teams, and championing AI tooling adoption.

Location: Macedonia, Poland, Turkey, or Ukraine

Company

Cloud and AI-driven IT company headquartered in the Netherlands, providing custom iGaming, Healthcare, and Airline solutions to international clients in Western Europe and North America.

What you will do

• Own requirements for product tracks from discovery through Definition of Ready across sportsbook, AI chatbot, and backoffice modules
• Facilitate backlog refinement and sprint planning: prepare tickets, ensure acceptance criteria completeness, unblock estimation, and drive team alignment
• Produce and maintain product documentation in Confluence including architecture context, decision records, and process flows
• Collaborate with Solution Architect and Product Owner on feature decomposition and prioritization
• Define access control rules, validation logic, and edge-case flows for complex features like deposits, withdrawals, and bet placement
• Contribute to usability testing analysis and translate findings into actionable items
• Support client-facing discovery calls, capture decisions, and produce summaries
• Onboard new team members and champion AI tooling adoption within the BA function

Requirements

• 5+ years as Business Analyst on complex software products, with 1+ year in iGaming or regulated digital platforms
• Proven ability to write production-quality requirements: user stories, acceptance criteria, edge cases
• Fluency in Lean AI-SDLC workflows, strong facilitation and presentation skills
• Proficiency with Jira and Confluence
• Excellent written and spoken English (C1) for specs and client-facing calls
• Strong prioritization, resilience in high-pressure environments, comfort with ambiguity
• Actively uses AI tools (Claude, ChatGPT) for requirements drafting, impact analysis, meeting summaries
• Understands LLM concepts at product level and reviews AI-generated user stories/test cases

Nice to have

• Experience with sports betting or casino domain (bet slip, odds, PAM)
• Experience on sportsbook backoffice platform
• Familiarity with multi-tenant SaaS architecture
• Background in chatbot/conversational AI requirements
• Knowledge of KYC/AML compliance in regulated gambling jurisdictions