Senior Consultant – AI Transformation & Decision Intelligence

Tech stack: - Microsoft Azure AI Services (e.g. Azure OpenAI, Cognitive Services) - Machine Learning frameworks (conceptual understanding or hands-on exposure) - Data platforms (e.g. Azure Data Lake, Databricks, Synapse – nice to have) - Search & retrieval technologies (e.g. vector search, RAG architectures) - Azure DevOps / Jira (Agile delivery and backlog management) - Power BI / Excel (data analysis and reporting) - M365 Suite (Teams, SharePoint, PowerPoint) - Optional: Python / SQL (for data analysis or prototyping) Requirements: - Minimum 4 years of experience in: - AI-enabled transformation programmes (including GenAI, Machine Learning, or Decision Intelligence) - Redesigning end-to-end business processes leveraging AI - Eliciting and documenting AI-related requirements and use cases - Delivering AI solutions into production environments - Integrating AI services within enterprise ecosystems (e.g. Azure AI, data platforms) - Performing data analysis with strong focus on data quality and governance - Designing complex decision processes combining human and AI inputs - Strong understanding of AI/ML concepts and enterprise AI architectures - Expertise in decision intelligence and process optimisation - Ability to translate business problems into AI-driven solutions - Strong analytical and data-driven mindset - Excellent stakeholder management and communication skills - Experience working in complex, regulated, or multi-stakeholder environments Nice to have: - Experienced in using AI tools in day-to-day workflow Project description: - Support of complex data, process, and AI transformation programmes (e.g. EFSA context) - Focus on leveraging AI (including GenAI and Machine Learning) to redesign business processes, enable intelligent decision-making, and deliver scalable AI solutions - Work within enterprise environments with strong alignment to organisational goals - Act as a bridge between business stakeholders, data teams, and technical teams - Ensure successful deployment of AI solutions into production environments Main responsibilities: - Drive AI-enabled transformation initiatives across complex business domains - Elicit, analyse, and document AI use cases, requirements, and business needs - Lead end-to-end process redesign, integrating AI capabilities to enhance efficiency and decision-making - Design and support implementation of AI-driven decision models combining human and machine inputs - Contribute to delivery and deployment of AI components into production environments - Support integration of AI services within enterprise architectures, including cloud-based solutions (e.g. Azure) - Perform data-driven analysis with strong focus on data quality, integrity, and governance - Collaborate with multi-disciplinary stakeholders (business, IT, data teams, external providers) - Ensure alignment with enterprise standards, governance, and security frameworks - Provide structured business analysis support across data, process, and AI transformation initiatives Originally posted on Himalayas