Senior Consultant – AI Transformation, Decision Intelligence

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🕒 June 23

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Spyrosoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🚘 Automotive

🏥 Healthcare

💼 Consulting

Automotive • Healthcare • Consulting

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• 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

🎯 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