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. 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 Originally posted on Himalayas