Project description:

The project focuses on supporting complex data, process, and AI transformation programmes within legal or regulatory environments (e.g. EFSA context). The role involves designing and delivering AI-enabled solutions that enhance decision-making, automate processes, and improve efficiency while ensuring compliance with legal, regulatory, and governance frameworks. The position acts as a bridge between business, legal, data, and technology stakeholders, translating business and legal requirements into scalable AI-driven solutions.

Tech stack:

• Microsoft Azure AI Services (Azure OpenAI, Cognitive Services)

• Machine Learning frameworks (conceptual or hands-on exposure)

• Data platforms (Azure Data Lake, Synapse, Databricks – nice to have)

• Search & retrieval technologies (vector search, RAG architectures)

• Azure DevOps / Jira (Agile delivery and backlog management)

• Power BI / Excel (data analysis and reporting)

• M365 tools (Teams, SharePoint, PowerPoint)

• Optional: Python / SQL

Requirements:

Experience in:

• AI-enabled transformation programmes (including GenAI / Machine Learning)

• Working in or with legal, regulatory, or compliance-driven environments

• Redesigning end-to-end business processes leveraging AI

• Eliciting and documenting AI-related requirements and use cases

• Delivering AI components into production environments

• Integrating AI services within enterprise ecosystems (e.g. Azure-hosted AI, data platforms, vector search)

• Conducting data analysis with strong attention to data quality and governance

• Modelling complex decision processes combining human and AI inputs

• Solid understanding of AI/ML concepts and decision intelligence frameworks

• Ability to align AI solutions with legal and regulatory requirements

• Strong expertise in process optimisation and intelligent automation

• Proven ability to translate business and legal needs into technical solutions

• Excellent stakeholder management in complex, multi-stakeholder environments

• Strong analytical and problem-solving mindset

Nice to have:

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

• Experience with data platforms such as Azure Data Lake, Synapse, Databricks

• Knowledge of Python or SQL

Main responsibilities:

• Drive AI-enabled transformation initiatives in complex, regulated environments

• Elicit, analyse, and document AI use cases, requirements, and business needs (including legal and compliance aspects)

• Lead end-to-end process redesign with integrated AI capabilities

• Design and support implementation of decision intelligence models combining human judgment and AI outputs

• Contribute to delivery and deployment of AI components into production environments

• Ensure integration of AI services within enterprise architectures (Azure AI, data platforms, vector search)

• Perform data-driven analysis with focus on data quality, traceability, and compliance

• Collaborate with multi-disciplinary stakeholders (legal, business, IT, data, external providers)

• Ensure compliance with governance, security, legal, and enterprise architecture standards

• Support business analysis activities within broader transformation initiatives