AI Business Analyst

EVS Broadcast

Luik

On-site

EUR 60,000 - 90,000

Full time

7 days ago
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Job summary

EVS Broadcast is seeking an AI Business Analyst to ensure AI initiatives deliver measurable value while staying compliant and cost-controlled. You will collaborate with governance and key stakeholders to align AI with strategic goals.

You will qualify AI use cases, manage the intake process, and build the AI backlog and roadmap, monitoring value and cost across the AI portfolio.

Qualifications

  • Strong understanding of AI concepts and data skills.
  • Experience in AI governance and regulation.
  • SQL, data modeling, and Azure AI ecosystem.
  • API/MCP-based integrations with AI systems.

Responsibilities

  • Qualify AI use cases and own the AI backlog.
  • Run a single intake process for AI use cases and POC proposals.
  • Build, prioritize and maintain the AI backlog and roadmap.
  • Monitor the AI portfolio, its value and costs.

Skills

AI concepts
SQL
Data modeling
Azure AI ecosystem
API/MCP-based integrations
AI governance

Education

AI concepts & data skills

Job description

Experience in AI governance and regulation

Education

Strong understanding of AI concepts and data skills required.

Required Skills

AI concepts SQL Data modeling Azure AI ecosystem API/MCP-based integrations AI governance

Soft Skills

Strong business acumen Excellent analytical skills Strong customer focus Facilitation and coaching skills Structured and organized

The Position

As an AI Business Analyst, you will ensure AI initiatives deliver real value, remain compliant, and are cost-controlled. You will work closely with governance and key stakeholders to align AI with strategic goals.

The Company

EVS is a company focused on deploying secure and scalable AI architectures. Its mission is to empower team members to use AI safely and effectively. EVS aims to align AI initiatives with strategic ambitions.

Your Responsibilities
  • Qualify use cases and own the AI backlog
  • Run a single intake process for AI use cases and POC proposals
  • Build, prioritize and maintain the AI backlog and roadmap
  • Monitor the AI portfolio, its value and costs
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