Senior Consultant – AI Transformation & Decision Intelligence

SpyroSoft S.A. is hiring for a role focused on AI transformation and decision intelligence within enterprise environments, including complex data, process, and AI transformation programmes such as those in the EFSA context.

• Minimum 4 years of experience in AI-enabled transformation programmes including GenAI, Machine Learning, or Decision Intelligence
• Experience redesigning end-to-end business processes leveraging AI
• Ability to elicit and document AI-related requirements and use cases
• Experience delivering AI solutions into production environments
• Experience integrating AI services within enterprise ecosystems (e.g., Azure AI, data platforms)
• Strong data analysis skills with focus on data quality and governance
• 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:

• Experience using AI tools in day-to-day workflow
• Hands-on exposure to Python and SQL for data analysis or prototyping
• Familiarity with data platforms such as Azure Data Lake, Databricks, Synapse

• 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