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- Tasks: Lead AI projects and develop innovative solutions to improve healthcare outcomes.
- Company: Join Convatec, a global leader in medical technologies dedicated to improving lives.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by driving AI transformation in a supportive environment.
- Qualifications: 5+ years in AI/ML with leadership experience; strong skills in Azure and data engineering.
- Other info: Collaborative culture with a focus on innovation and career development.
The predicted salary is between 43200 - 72000 £ per year.
About Convatec: Pioneering trusted medical solutions to improve the lives we touch. Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring.
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.
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 $ 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.
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.
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.
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.
Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.
AI Delivery Manager in London employer: Convatec
Contact Detail:
Convatec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Delivery Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Convatec or similar companies. A friendly chat can open doors and give you insights that might just help you land that AI Delivery Manager role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding of Azure AI services. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and how it aligns with Convatec's mission.
✨Tip Number 3
Showcase your leadership skills! Be ready to discuss how you've managed teams and projects in the past. Convatec is looking for someone who can lead a team of Engineers, so highlight your mentoring experiences and successful project deliveries.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining Convatec and contributing to their mission of improving lives.
We think you need these skills to ace AI Delivery Manager in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Delivery Manager role. Highlight your experience with Azure AI services and any leadership roles you've held. We want to see how your skills align with our mission at Convatec!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your proficiency in Python, SQL, and any relevant projects you've worked on. We love seeing how you’ve applied your skills in real-world scenarios.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Remember to submit your application through our official website. This ensures that we receive all your details correctly and helps us keep track of your application. We can’t wait to hear from you!
How to prepare for a job interview at Convatec
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Azure AI services and MLOps practices. Be ready to discuss specific projects where you've implemented these technologies, as well as the challenges you faced and how you overcame them.
✨Showcase Leadership Skills
As an AI Delivery Manager, you'll need to demonstrate your ability to lead a team. Prepare examples of how you've mentored others or managed cross-functional teams in the past. Highlight your approach to fostering collaboration and driving results.
✨Understand the Business Impact
Convatec is all about improving lives through medical solutions. Be prepared to articulate how your AI strategies can deliver measurable business value. Think about how your work can enhance patient outcomes or reduce care costs.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Convatec's AI strategy and how the role fits into their broader goals. This shows your genuine interest in the company and helps you assess if it's the right fit for you.