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- Tasks: Lead the development of innovative AI solutions and define product strategy.
- Company: Join Ernst & Young, a global leader in advisory services.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with exposure to cutting-edge technologies and a collaborative team.
- Why this job: Shape the future of AI products and make a significant impact in various industries.
- Qualifications: Bachelor's degree and experience in AI product delivery required.
The predicted salary is between 70000 - 90000 £ per year.
Ernst & Young Advisory Services Sdn Bhd is seeking an AI Product Manager to drive development of AI solutions in London. This role blends technical knowledge with business acumen to create scalable AI products.
Responsibilities include:
- Defining product strategy
- Overseeing agile development teams
- Ensuring data governance standards are met
Candidates must have a Bachelor's in a relevant field and experience in AI product delivery across industries. Preferred experience includes generative AI and consulting at a Big 4 firm.
AI Product Lead: Infrastructure & Data Solutions employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Lead: Infrastructure & Data Solutions
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that AI Product Lead role.
✨Tip Number 2
Showcase your skills! Create a portfolio or case studies that highlight your experience with AI product delivery. We want to see how you've tackled challenges and delivered results, especially in generative AI.
✨Tip Number 3
Prepare for interviews by brushing up on agile methodologies and data governance standards. We need to demonstrate that you can lead teams effectively and ensure compliance with best practices in AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see how you can contribute to our mission of driving innovative AI solutions.
We think you need these skills to ace AI Product Lead: Infrastructure & Data Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Product Lead role. Highlight your experience in AI product delivery and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this role. Let us know what excites you about working with us at StudySmarter.
Showcase Your Technical Skills: Since this role blends technical knowledge with business acumen, be sure to showcase your technical skills related to AI and data solutions. We love seeing candidates who can bridge the gap between tech and business!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI technologies, especially generative AI. Be ready to discuss how you've applied these in previous roles and how they can be leveraged in product development.
✨Showcase Your Business Acumen
Prepare examples that highlight your ability to blend technical skills with business strategy. Think about how you've defined product strategies in the past and be ready to explain your thought process.
✨Familiarise Yourself with Agile Methodologies
Since overseeing agile development teams is part of the role, it’s crucial to understand agile principles. Be prepared to discuss your experience working in agile environments and how you’ve contributed to successful product delivery.
✨Understand Data Governance Standards
Research data governance best practices and be ready to talk about how you’ve ensured compliance in your previous projects. This will show that you’re not just technically savvy but also aware of the importance of data integrity.