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- Tasks: Lead data governance and AI initiatives across EMEA for a top financial firm.
- Company: Global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Shape the future of finance through data and AI in a dynamic environment.
- Qualifications: 8+ years in finance with expertise in AI and strong analytical skills.
- Other info: Collaborative culture that values data-driven decision making.
The predicted salary is between 57600 - 84000 £ per year.
A leading global financial services firm seeks a professional for the Chief Data & Analytics Office to drive data governance and AI readiness in EMEA. The ideal candidate has over 8 years of experience in finance and a strong background in artificial intelligence.
Responsibilities include:
- Creating data products
- Engaging stakeholders
- Promoting a data-driven culture
This role demands excellent analytical skills and the ability to communicate effectively across various management levels.
VP, Data Products & AI Readiness – EMEA in London employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Data Products & AI Readiness – EMEA in London
✨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 VP role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience in data governance and AI. We want to see how you’ve driven results in the past, so make it easy for them to see your impact.
✨Tip Number 3
Practice your pitch! When you get that interview, be ready to communicate your vision for data products and AI readiness. We need to convey our passion and strategic thinking clearly to engage those stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re all about making connections, so let’s get your foot in the door together!
We think you need these skills to ace VP, Data Products & AI Readiness – EMEA in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the VP, Data Products & AI Readiness role. Highlight your background in finance and artificial intelligence to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data governance and AI readiness, and how your experience can help us drive a data-driven culture at StudySmarter.
Showcase Your Analytical Skills: Since this role requires excellent analytical skills, don’t shy away from including examples of how you've used data to make decisions or drive projects in your previous roles. We love seeing real-world applications!
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’s super easy!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data governance and AI. Brush up on your knowledge of data products and be ready to discuss how you've successfully implemented similar strategies in your previous roles.
✨Engage with Stakeholders
Prepare examples of how you've effectively engaged stakeholders in past projects. Think about how you can demonstrate your ability to communicate complex data concepts to non-technical audiences, as this will be crucial for the role.
✨Showcase Your Analytical Skills
Be ready to tackle some analytical challenges during the interview. Practice explaining your thought process and how you approach problem-solving, as this will highlight your suitability for driving data initiatives.
✨Promote a Data-Driven Culture
Think about ways you've fostered a data-driven culture in previous positions. Be prepared to share specific examples of how you’ve encouraged teams to leverage data in decision-making, as this aligns perfectly with the responsibilities of the role.
