Senior Consultant – AI Transformation & Decision Intelligence

Tech stack:

• Microsoft Azure AI Services (e.g. Azure OpenAI, Cognitive Services)
• Machine Learning frameworks (conceptual understanding or hands-on exposure)
• Data platforms (e.g. Azure Data Lake, Databricks, Synapse – nice to have)
• Search & retrieval technologies (e.g. vector search, RAG architectures)
• Azure Dev Ops / Jira (Agile delivery and backlog management)
• Power BI / Excel (data analysis and reporting)
• M365 Suite (Teams, SharePoint, PowerPoint)
• Optional:
  Python / SQL (for data analysis or prototyping)

• Minimum 4 years of experience in:
  • AI-enabled transformation programmes (including GenAI, Machine Learning, or Decision Intelligence)
  • Redesigning end-to-end business processes leveraging AI
  • Eliciting and documenting AI-related requirements and use cases
  • Delivering AI solutions into production environments
  • Integrating AI services within enterprise ecosystems (e.g. Azure AI, data platforms)
  • Performing data analysis with strong focus on data quality and governance
  • Designing complex decision processes combining human and AI inputs
• Strong understanding of AI/ML concepts and enterprise AI architectures
• Expertise in decision intelligence and process optimisation
• Ability to translate business problems into AI-driven solutions
• Strong analytical and data-driven mindset
• Excellent stakeholder management and communication skills
• Experience working in complex, regulated, or multi-stakeholder environments

• Experienced in using AI tools in day-to-day workflow

• Support of complex data, process, and AI transformation programmes (e.g. EFSA context)
• Focus on leveraging AI (including GenAI and Machine Learning) to redesign business processes, enable intelligent decision-making, and deliver scalable AI solutions
• Work within enterprise environments with strong alignment to organisational goals
• Act as a bridge between business stakeholders, data teams, and technical teams
• Ensure successful deployment of AI solutions into production environments

• Drive AI-enabled transformation initiatives across complex business domains
• Elicit, analyse, and document AI use cases, requirements, and business needs
• Lead end-to-end process redesign, integrating AI capabilities to enhance efficiency and decision-making
• Design and support implementation of AI-driven decision models combining human and machine inputs
• Contribute to delivery and deployment of AI components into production environments
• Support integration of AI services within enterprise architectures, including cloud-based solutions (e.g. Azure)
• Perform data-driven analysis with strong focus on data quality, integrity, and governance
• Collaborate with multi-disciplinary stakeholders (business, IT, data teams, external providers)
• Ensure alignment with enterprise standards, governance, and security frameworks
• Provide structured business analysis support across data, process, and AI transformation initiatives