AI Analyst - Insurance & Generative AI Solutions

• Translate business requirements into structured functional specifications and effective prompts for AI initiatives.
• Collaborate with technical centers of excellence to identify the most suitable architectures and technologies for specific use cases.
• Coordinate the end-to-end delivery of AI products, from initial design through to deployment and continuous improvement.
• Organize and execute comprehensive testing phases, including user acceptance testing and pilot validation.
• Assess the business impact and value of implemented solutions to ensure alignment with strategic objectives.
• Promote AI awareness and foster internal communities through workshops and communication initiatives.

• 5+ years of experience as a Business Analyst or Project Lead specifically within AI and Analytics projects.
• 5+ years of experience in business and functional analysis, including BPMN modeling, process flows, and writing user stories.
• You possess proven expertise in the end-to-end delivery of AI solutions involving LLM, RAG, NLP, ML, and Deep Learning.
• You have technical proficiency in Python and SQL for data analysis and solution development.
• You bring experience working with MS Office 365, Copilot, PowerBI, Azure DataBricks, and Azure DataLake.
• You're experienced in AI Prompting and translating business logic into functional AI interactions.
• You have a strong track record of defining testing strategies and coordinating UAT phases.
• You possess strong analytical thinking, a well-organized work style, and the ability to manage priorities under tight deadlines.
• You are fluent in Dutch or French with a good level of the other language and English.

Nice to Haves

• Experience in the insurance or financial services industry.
• Knowledge of Agile methodologies and working in cross-functional teams.
• Experience with multilingual NLP implementations.
• Background in data modeling and advanced data analytics.
• Change management mindset with the ability to drive solution adoption.

Technische en functionele problemen analyseren Corrigerende acties, technische aanpassingen, ... voorstellen

Functionele oplossingen formaliseren en bepalen Evoluties en functionele uitbreidingen van het informatiesysteem voorstellen aan de opdrachtgever

Domein: Databanken

Functionele behoeften van de onderneming of de klant analyseren De technische eigenschappen van het product bepalen volgens het lastenboek

Normen, standaarden, methodes, tools en procedures voor betrouwbaarheid, onderzoek of informaticaproductie bepalen en toepassen (kwaliteit, beveiliging, ...)

Technische oplossingen uitwerken Configuraties of architectuur voorstellen, evalueren en keuzes voorstellen die zijn aangepast aan de functionele behoeften

Prestaties van het informatiesysteem analyseren Maatregelen voorstellen voor de verbetering van de kwaliteit, de veiligheid en de productiviteit

Behoeften van de opdrachtgever identificeren Vakprocessen analyseren Opportuniteit en uitvoerbaarheid evalueren

Behoeften van de klant of gebruiker analyseren Het functioneel lastenboek opstellen (specificaties, termijnen, kosten, ...)

Domein: Software-engineering

Bedrijfsprocessen analyseren