At a Glance
- Tasks: Lead the vision for data and AI in R&D, driving innovation and ethical practices.
- Company: Join Haleon plc., a leader in everyday health solutions.
- Benefits: Competitive salary, career growth, and a chance to shape the future of health.
- Other info: Collaborative environment focused on ethical AI and innovation.
- Why this job: Make a real impact on health through cutting-edge AI and data strategies.
- Qualifications: Extensive experience in R&D and AI product leadership required.
The predicted salary is between 70000 - 100000 £ per year.
Haleon plc. is seeking a Data & AI Delivery Lead for R&D to define and execute the vision for the company's data and AI ecosystem. This senior role requires extensive experience in research and development processes, leading AI product portfolios, and collaboration across departments.
The successful candidate will influence strategies that enhance decision-making and accelerate innovation, ensuring ethical AI use tailored to regulated environments. Join us in delivering better everyday health with humanity.
R&D Data & AI Delivery Leader employer: Haleon Plc.
Haleon plc. is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in data and AI can truly make a difference in enhancing everyday health. With a strong commitment to employee growth, we offer numerous opportunities for professional development and the chance to lead impactful projects in a regulated environment. Join us in a dynamic setting that values ethical practices and encourages creativity, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land R&D Data & AI Delivery Leader
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those interviews by researching Haleon and their approach to data and AI. We want to see you shine by showing how your experience aligns with their vision for better everyday health.
✨Tip Number 3
Practice your pitch! You need to be able to clearly articulate your experience in R&D and AI product portfolios. We suggest rehearsing with friends or using mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace R&D Data & AI Delivery Leader
Some tips for your application 🫡
Show Your Passion for R&D:When writing your application, let your enthusiasm for research and development shine through. We want to see how your experience aligns with our mission to enhance everyday health using data and AI.
Highlight Your Leadership Skills:Make sure to showcase your leadership experience in AI product portfolios. We’re looking for someone who can influence strategies and drive innovation, so don’t hold back on sharing your successes!
Tailor Your Application:Customise your application to reflect the specific requirements of the role. Mention your experience with ethical AI practices and collaboration across departments, as these are key to our vision at Haleon.
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 this exciting opportunity to lead in the R&D space.
How to prepare for a job interview at Haleon Plc.
✨Know Your Data & AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in data and AI. Be prepared to discuss your previous experiences with AI product portfolios and how you've influenced R&D strategies. This will show that you’re not just familiar with the field, but that you can lead it.
✨Showcase Your Collaborative Spirit
Since this role involves collaboration across departments, think of examples where you successfully worked with different teams. Highlight how you’ve navigated challenges and built relationships to drive projects forward. This will demonstrate your ability to influence and lead in a multi-disciplinary environment.
✨Emphasise Ethical AI Practices
Given the focus on ethical AI use in regulated environments, be ready to discuss your understanding of ethical considerations in AI. Share specific instances where you ensured compliance and responsible use of AI in your past roles. This will resonate well with their commitment to delivering better health with humanity.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making processes. Think about how you would approach real-world challenges in R&D and AI delivery. Practising these scenarios will help you articulate your thought process clearly during the interview.
