Senior Consultant – AI Transformation & Decisioning; Legal Environment

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.

• 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 Dev Ops / Jira (Agile delivery and backlog management)
• Power BI / Excel (data analysis and reporting)
• M365 tools (Teams, SharePoint, PowerPoint)
• Optional:
  Python / SQL

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

• 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

• 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