• Relevant tertiary qualification in Information Technology, Information Systems, Computer Science, Informatics, Engineering, Actuarial Science, or a related field.
• Business Analysis certification (e.g., CBAP, FTI or equivalent).
• Project Management qualification advantageous.
• MBA or experience with a Big Four consulting firm will be beneficial.
• Minimum 8+ years’ Business Analysis experience within Financial Services, Insurance, Reinsurance, or related transactional software environments.
• Strong SQL skills with the ability to read, analyse, and execute queries.
• Advanced Microsoft Excel and Power Query experience.
• Experience with data analysis, reporting, and visualisation tools such as Power BI or Tableau.
• Working knowledge of Large Language Models (LLMs) and AI tools such as Microsoft Copilot.
• Experience using Agile methodologies, Scrum frameworks, product backlogs, and user story development.
• Proficiency in UML, BPMN, Enterprise Architect, and other business analysis tools.
• Experience developing business cases, project concepts, roadmaps, and solution proposals.
• Strong stakeholder management experience across business and technical teams.
• Experience supporting software development lifecycle (SDLC) initiatives and large-scale transformation projects.
• Knowledge of Atlassian tools (Jira and Confluence) advantageous.
• Experience within short-term insurance, reinsurance, financial services, digital transformation, or data analytics environments will be advantageous.

• Azure AI & Generative AI Development
• Retrieval-Augmented Generation (RAG) Architecture
• Azure OpenAI and Agentic AI Frameworks
• Cloud Architecture & Engineering
• Python Development
• API Design & Integration
• Infrastructure as Code (Terraform, Bicep, ARM)
• DevOps & CI/CD Practices
• Azure Security & Identity Management
• AI Governance & Responsible AI
• AI Monitoring, Observability & Optimization
• Solution Design & Systems Integration
• Strong analytical and problem-solving skills.
• Innovative and forward-thinking mindset.
• Excellent communication and stakeholder engagement abilities.
• Ability to translate complex technical concepts into business value.
• Collaboration and teamwork orientation.
• Continuous learning and adaptability.
• Strong attention to detail and quality focus.
• Ability to work independently and drive initiatives.
• Mentoring and knowledge-sharing capability.
• Results-driven with a focus on delivering scalable, business-aligned AI solutions.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
• Microsoft Azure certifications (Azure AI Engineer, Azure Solutions Architect) are advantageous
• Equivalent practical experience in Azure AI Engineering may be considered.
• Proven hands-on experience designing and implementing AI and Generative AI solutions on Microsoft Azure.
• Experience building Retrieval-Augmented Generation (RAG) solutions and conversational AI platforms.
• Strong Python development experience.
• Experience with API development, integration, and secure authentication mechanisms.
• Solid understanding of Azure cloud security, networking, identity management, VNETs, and private connectivity.
• Experience implementing Infrastructure as Code (Bicep, ARM Templates, Terraform).
• Strong DevOps and CI/CD experience using Azure DevOps and Git-based workflows.
• Exposure to AI governance, responsible AI practices, compliance, and security frameworks.