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:

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Microsoft Azure AI Services (Azure OpenAI, Cognitive Services)

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Machine Learning frameworks (conceptual or hands-on exposure)

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

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Search & retrieval technologies (vector search, RAG architectures)

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Azure DevOps / Jira (Agile delivery and backlog management)

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Power BI / Excel (data analysis and reporting)

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M365 tools (Teams, SharePoint, PowerPoint)

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Optional: Python / SQL

Requirements:

Experience in:

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

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

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Redesigning end-to-end business processes leveraging AI

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Eliciting and documenting AI-related requirements and use cases

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Delivering AI components into production environments

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

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Conducting data analysis with strong attention to data quality and governance

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Modelling complex decision processes combining human and AI inputs

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Solid understanding of AI/ML concepts and decision intelligence frameworks

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Ability to align AI solutions with legal and regulatory requirements

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Strong expertise in process optimisation and intelligent automation

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Proven ability to translate business and legal needs into technical solutions

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Excellent stakeholder management in complex, multi-stakeholder environments

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Strong analytical and problem-solving mindset

Nice to have:

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

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

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Knowledge of Python or SQL

Main responsibilities:

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Drive AI-enabled transformation initiatives in complex, regulated environments

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

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

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

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Contribute to delivery and deployment of AI components into production environments

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

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

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

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

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Support business analysis activities within broader transformation initiatives

Originally posted on Himalayas