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