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- Tasks: Lead AI projects from start to finish, ensuring smooth delivery and compliance.
- Company: Global leader in AI solutions with a focus on innovation.
- Benefits: Fully remote work, competitive contract rate, and opportunity to shape AI strategies.
- Why this job: Join a cutting-edge team and drive impactful AI initiatives in healthcare.
- Qualifications: 10+ years in AI/ML delivery, preferably in healthcare, with strong project management skills.
- Other info: Exciting chance to work on transformative projects in a dynamic environment.
The predicted salary is between 54000 - 84000 £ per year.
Our global client is looking for an AI Delivery Lead to assist in establishing an AI centre of excellence. The role is for an initial 12 month contract working fully remote and is looking to start in November.
Responsibilities:
- Lead end-to-end delivery of complex AI/ML/GenAI and advanced analytics projects from conception through deployment and scale-up, managing multiple concurrent initiatives using agile methodologies while ensuring adherence to data governance and compliance requirements.
- Serve as primary liaison between cross-functional engineering teams and stakeholders, presenting implementation recommendations to senior leadership and managing expectations around risks, dependencies, and mitigation strategies.
- Develop and maintain project roadmaps, timelines, and resource allocation plans while establishing KPIs to track progress, and design frameworks for solution implementation across the organization.
Qualifications:
- 10-15 years of professional experience including 5+ years leading AI/ML solution delivery in healthcare or clinical research environments, with a background in data science or analytics consulting and project management certification preferred.
Seniority level: Mid-Senior level
Employment type: Contract
AI Implementation Delivery Lead employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Implementation Delivery Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and healthcare sectors. We all know that sometimes it’s not just what you know, but who you know. Attend virtual meetups or webinars to get your name out there.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects in AI/ML and analytics. We want to see your success stories, so make sure to include metrics that demonstrate your impact.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Delivery Leads and practice your responses. We suggest using the STAR method (Situation, Task, Action, Result) to structure your answers and show off your problem-solving skills.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. By applying directly, you’ll ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
We think you need these skills to ace AI Implementation Delivery Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and project management. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects you've led!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the AI Delivery Lead position. Share specific examples of your past successes in similar roles and how they relate to what we’re looking for.
Showcase Your Agile Experience: Since this role involves managing multiple initiatives using agile methodologies, make sure to highlight your experience with agile practices. We love seeing how you’ve adapted to challenges and delivered results in fast-paced environments!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at BioTalent
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, ML, and GenAI. Be ready to discuss specific projects you've led in these areas, especially in healthcare or clinical research. Highlight your experience with data governance and compliance, as this will show you understand the complexities involved.
✨Showcase Your Project Management Skills
Prepare to talk about your project management experience, particularly in agile methodologies. Have examples ready that demonstrate how you've managed multiple initiatives simultaneously, including how you developed roadmaps and tracked KPIs. This will help illustrate your ability to lead complex projects.
✨Communicate Like a Pro
As the primary liaison between teams and stakeholders, strong communication is key. Practice explaining technical concepts in simple terms, and be prepared to discuss how you've managed expectations and mitigated risks in past projects. This will show your ability to bridge the gap between technical and non-technical audiences.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your problem-solving skills. Think of situations where you had to make tough decisions or adapt to changes in project scope. Prepare to explain your thought process and the outcomes, as this will demonstrate your strategic thinking and leadership capabilities.
