Senior Consultant – AI Transformation & Decisioning (Legal Environment)

Job description

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