Senior Consultant – AI Transformation & Decision Intelligence

Job description

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 DevOps / 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)

Requirements:

- 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

Nice to have:

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

Project description:

- 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

Main responsibilities:

- 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