The AI Delivery Manager plays a pivotal role within Convatec’s AI Centre of Excellence (CoE), serving as both a strategic and technical leader in the design, development, and deployment of AI-powered and data-driven solutions. This senior-level position is responsible for shaping and executing Convatec’s enterprise AI strategy, leveraging Microsoft Azure AI services, Microsoft Fabric, and modern DevOps and MLOps practices to accelerate transformation across the business. The role incorporates direct leadership of a core team of AI and Data Engineers, with four direct reports, and extends to managing engagement with a wider network of over ten external consultants. These include specialists such as UX leads, Power BI experts, Fabric and enterprise architects, cross-functional programme leads, and data analysts. The AI Delivery Manager will also work in close partnership with Convatec’s internal delivery teams to ensure seamless integration and alignment with strategic programmes. In addition to technical leadership, the role carries accountability for the delivery and execution of AI and data projects with budgets of up to $1.2 million. This includes oversight of project planning, stakeholder engagement, and ensuring solutions are scalable, secure, and aligned with business objectives. The position demands a blend of hands-on engineering expertise, team leadership, and strategic vision, making it central to the success of Convatec’s AI-first transformation. Key responsibilities and authority - Strategic Leadership: Define and drive Convatec’s AI strategy in alignment with enterprise transformation goals, ensuring AI initiatives deliver measurable business value. - Solution Delivery: Lead the end-to-end design, development, and deployment of AI-powered and data-driven solutions using Microsoft Azure AI services, Microsoft Fabric, and modern DevOps/MLOps practices. - Team Management: Directly manage a team of Engineers, providing technical guidance, mentoring, and performance oversight. - External Engagement: Lead and coordinate workstreams involving over ten external consultants, including UX Lead, Power BI Lead, Fabric Architect, Enterprise Architect, cross-functional programme leads, and Data Analysts. - Project Ownership: Own the execution and delivery of AI and data projects with budgets up to $1.2 million, including planning, resource allocation, and stakeholder communication. - Technical Governance: Establish and enforce best practices in AI engineering, data architecture, and MLOps to ensure scalability, reliability, and compliance across all AI systems. - Cross-functional Collaboration: Work closely with Convatec delivery teams and business units to ensure AI solutions are integrated effectively and aligned with operational needs. - Decision-Making Authority: Make independent decisions on technical architecture, tooling, and delivery approaches within approved programme scopes. - Approve resource allocation and task prioritisation within the AI CoE team and associated external consultants. - Recommend and implement process improvements and technical standards without requiring prior approval. - Signatory Rights: Authorised to approve technical documentation, solution designs, and internal project deliverables. Key requirements Essential • 5 years’ experience in AI, ML, or Data Engineering, including at least 2 years in a technical leadership capacity. • Strong expertise in Azure AI and ML services (Azure Machine Learning, Cognitive Services, Azure OpenAI). • Proficiency with Microsoft Fabric, Azure Data Factory, and Synapse for large-scale data integration. • Solid understanding of data engineering principles — data lakes, Lakehouse (Delta/Parquet), ETL/ELT design, and governance. • Strong skills in Python, SQL, and API development (REST, GraphQL). • Experience implementing DevOps/MLOps pipelines for deployment, testing, and monitoring. • Proven ability to lead and mentor teams, set technical standards, and ensure delivery quality. Desirable • Familiarity with Power BI, Dataverse, or Fabric Power Platform integration. • Experience with containerization (Docker/Kubernetes) and cloud automation. • Exposure to agent-based AI architectures, prompt engineering, or retrieval-augmented generation (RAG). • Awareness of responsible AI, data privacy, and security compliance frameworks. Soft Skills & Attributes • Hands-on leader with strong technical judgment and mentoring ability. • Effective communicator who can translate complex AI concepts into business value. • Proactive, collaborative, and comfortable working across disciplines and time zones. Education/ Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. - Relevant certifications in Azure AI, Data Engineering, or MLOps are highly desirable. Languages • Speaking: Yes English* • Writing/Reading: Yes English* *additional languages as required or nice to have Working conditions Hybrid working 1 number of days per week in the office driven by business requirements as Convatec has a flexible approach to office working.