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AI Delivery Manager

Job in Merthyr Tydfil, Merthyr Tydfil County, CF47, Wales, UK
Listing for: Convatec
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Job Description & How to Apply Below

AI Delivery Manager

Convatec is a global medical products and technologies company focused on solutions for the management of chronic conditions across Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With over 10,000 colleagues in roughly 90 countries, Convatec’s revenues in 2024 were more than $2 billion and the company is listed on the FTSE 100 Index (LSE:

CTEC).

Position Overview:

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 Dev Ops and MLOps practices to accelerate transformation across the business.

Direct leadership of a core team of AI and Data Engineers (four direct reports) and coordination with over ten external consultants (UX leads, Power BI experts, Fabric and enterprise architects, cross‑functional programme leads, and data analysts) is required. Accountability for the delivery and execution of AI and data projects with budgets up to $1.2 million, including project planning, stakeholder engagement, and ensuring solutions are scalable, secure, and aligned with business objectives, is also essential.

Key Responsibilities
  • Define and drive Convatec’s AI strategy in alignment with enterprise transformation goals, ensuring AI initiatives deliver measurable business value.
  • 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 Dev Ops/MLOps practices.
  • Directly manage a team of Engineers, providing technical guidance, mentoring, and performance oversight.
  • Lead and coordinate work streams involving over ten external consultants, including UX Lead, Power BI Lead, Fabric Architect, Enterprise Architect, cross‑functional programme leads, and Data Analysts.
  • Own the execution and delivery of AI and data projects with budgets up to $1.2 million, including planning, resource allocation, and stakeholder communication.
  • Establish and enforce best practices in AI engineering, data architecture, and MLOps to ensure scalability, reliability, and compliance across all AI systems.
  • Work closely with Convatec delivery teams and business units to ensure AI solutions are integrated effectively and aligned with operational needs.
  • 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.
  • Authorise technical documentation, solution designs, and internal project deliverables.
Essential Requirements
  • 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, Graph

    QL).
  • Experience implementing Dev Ops/MLOps pipelines for deployment, testing, and monitoring.
  • Proven ability to lead and mentor teams, set technical standards, and ensure delivery quality.
Desirable Requirements
  • Familiarity with Power BI, Dataverse, or Fabric + Power Platform integration.
  • Experience with containerisation (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…
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