A major Belgian life insurance group is expanding its Life Digital Solutions team to accelerate adoption of AI-powered features across customer journeys and content management. This role sits at the intersection of business analysis and AI implementation, with hands-on work on LLM-based solutions and Python-driven data pipelines. The position supports projects such as call-insight analysis and generative AI assistants for intermediaries, and requires experience delivering end-to-end AI project delivery.
The mission
You will join a program-level team responsible for defining and delivering an AI roadmap inside the Life business line, coordinating with the internal AI competence centre and other digital teams. The technical landscape includes LLM and RAG architectures, Azure DataBricks and DataLake, PowerBI reporting and Python/SQL data work, and the work matters because it directly improves agent support and content quality for intermediary partners.
Day to day you translate business needs into functional requirements, clear prompts for generative AI, and testable user stories with acceptance criteria. You will coordinate implementation from analysis through testing and deployment, run UAT and pilots, assess business value after rollout and drive adoption through workshops and documentation. This is a senior ai analyst role with responsibility for both product-oriented design and delivery governance.
Your responsibilities
- Translate business objectives into clear functional specifications and prompts, producing user stories and acceptance criteria that enable development and model tuning.
- Coordinate end-to-end delivery of AI solutions, ensuring alignment between business stakeholders, data engineers and the AI competence centre.
- Define and execute testing strategies, lead UAT and pilot validations, and ensure deployment readiness and rollback plans.
- Assess business impact with measurable KPIs and PowerBI dashboards, and recommend continuous improvement steps after go-live.
- Run workshops and adoption campaigns to increase AI literacy and secure stakeholder buy-in across the Life department.
- Support data preparation and model evaluation activities, collaborating with data science and engineering on data flows in Azure DataLake and DataBricks.
Your profile
Essential skills
- 5–8 years delivering end-to-end ai project delivery or equivalent experience as a business analyst or project lead in AI and analytics projects.
- Practical understanding of AI fundamentals and solutions architecture, including LLM, RAG, NLP and generative ai.
- Hands-on Python and SQL skills for data exploration and requirements for engineers.
- Experience with AI prompting and translating business needs into prompts for model-driven solutions.
- Familiarity with PowerBI, Azure DataBricks and Azure DataLake, plus MS Office 365 and Copilot M365.
- Strong communication and facilitation skills, experience writing user stories and defining testing strategies.
Preferred skills
- Experience in the insurance or financial sector.
- Background in agile delivery, datamodeling and multilingual NLP (fr/nl/en).
Languages
- Dutch C1 or French C1, the other language at least B2, English B2.
Education
- Master degree or equivalent experience.