AI Transformation Analyst (Trilingual)

eXalt; Brussel Hoofdstad; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

eXalt Belgium seeks a trilingual AI-focused Business Analyst to bridge business stakeholders and IT engineering teams within AI transformation projects. You will translate AI opportunities into structured requirements and ensure solutions deliver measurable competitive advantage.

In this role, you will map As-Is processes, design To-Be AI-augmented workflows, and partner with Data/AI teams to assess feasibility of use cases (RAG, LLMs, analytics).

Qualifications

• 3+ or 4+ years experience as a Business/Functional Analyst in digital transformation projects.
• Fluent in English, French and Dutch; able to run workshops in all three languages.

Responsabilités

• Discovery & Strategy: Lead workshops with stakeholders to identify AI/Automation opportunities.
• Process Engineering: Map As-Is processes and design To-Be AI-augmented workflows.
• Requirement Structuring: Translate business needs into clear functional requirements, user stories and data specs.
• AI Value Assessment: Collaborate with Data/AI teams to assess feasibility of use cases (RAG, LLMs, analytics).
• Backlog & Stakeholder Management: Support Product Owners in prioritizing features by value and readiness.
• Quality & Acceptance: Define acceptance criteria and lead User Acceptance Testing (UAT).
• Communication Hub: Translate between non-technical business leaders and technical AI pods.

Connaissances

Trilingual English-French-Dutch

AI project experience

Analytical rigor

Stakeholder management

Process mapping

Communication

Outils

Jira

Confluence

Description du poste

eXalt Belgium seeks a trilingual AI-focused Business Analyst to bridge business stakeholders and IT engineering teams within AI transformation projects. You will translate AI opportunities into structured requirements and ensure solutions deliver measurable competitive advantage.

In this role, you will map As-Is processes, design To-Be AI-augmented workflows, and partner with Data/AI teams to assess feasibility of use cases (RAG, LLMs, analytics).