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- Tasks: Lead AI strategy and implementation in a cutting-edge medical solutions company.
- Company: Global leader in medical solutions with a focus on innovation.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by driving innovative AI solutions.
- Qualifications: 5+ years in AI and Data Engineering with strong leadership skills.
- Other info: Join a dynamic team dedicated to advancing healthcare through technology.
The predicted salary is between 48000 - 72000 £ per year.
A global medical solutions company in the UK seeks an AI Delivery Manager to lead AI strategy and implementation within its AI Centre of Excellence. The role requires 5+ years of AI and Data Engineering experience, proficiency in Azure AI services, and a strong leadership background. The ideal candidate will mentor a team while managing high-budget projects. This hybrid position allows flexible work arrangements, encouraging the contribution of innovative AI solutions for healthcare advancements.
AI Delivery Lead - Azure AI, MLOps & Data Strategy (Hybrid) employer: Rhian_Convatec
Contact Detail:
Rhian_Convatec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Delivery Lead - Azure AI, MLOps & Data Strategy (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and healthcare sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your Azure AI services knowledge. Be ready to discuss how you've led projects and mentored teams in the past. We want to see your leadership skills shine!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and goals. Check out our website for openings that match your skills, especially in AI delivery and data strategy.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace AI Delivery Lead - Azure AI, MLOps & Data Strategy (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and Data Engineering, especially with Azure AI services. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading AI strategy in healthcare. We love seeing candidates who can connect their personal motivations with our mission.
Showcase Leadership Skills: Since this role involves mentoring a team, make sure to highlight your leadership experience. Share examples of how you've successfully managed projects and guided teams in the past – we’re all about collaboration here!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your skills to us!
How to prepare for a job interview at Rhian_Convatec
✨Know Your AI Stuff
Make sure you brush up on your AI and Data Engineering knowledge. Be ready to discuss specific Azure AI services you've worked with and how they can be applied in healthcare. This shows you're not just familiar with the tech, but you understand its impact.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams or projects in the past. Highlight your mentoring experience and how you've guided others in their professional development. This will demonstrate that you can lead a team effectively in this role.
✨Understand the Company’s Vision
Research the global medical solutions company and its mission in healthcare. Be ready to discuss how your AI strategy aligns with their goals. This shows that you're genuinely interested in contributing to their success and innovation.
✨Prepare for Scenario Questions
Expect questions about managing high-budget projects and overcoming challenges in AI implementation. Think of specific scenarios where you’ve navigated obstacles and delivered results. This will help you illustrate your problem-solving skills and strategic thinking.
