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- Tasks: Drive data governance and AI readiness while creating innovative data products.
- Company: Leading global financial services firm with a focus on data and analytics.
- Benefits: Competitive salary, career advancement opportunities, and a dynamic work environment.
- Why this job: Join a forward-thinking team and shape the future of finance with AI.
- Qualifications: 8+ years in finance and strong AI background required.
- Other info: Engage with stakeholders and promote a data-driven culture across EMEA.
The predicted salary is between 48000 - 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 employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Data Products & AI Readiness – EMEA
✨Tip Number 1
Network like a pro! Reach out to connections in the finance and AI sectors. Attend industry events or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your analytical skills and data governance knowledge. Be ready to discuss how you've driven data products and engaged stakeholders in previous roles.
✨Tip Number 3
Showcase your passion for a data-driven culture! Share examples of how you've promoted this in past positions, and be prepared to discuss your vision for fostering it in the new role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace VP, Data Products & AI Readiness – EMEA
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: Use your cover letter to tell us why you're the perfect fit for this position. Share your passion for data governance and AI readiness, and don’t forget to mention how you can engage stakeholders effectively.
Showcase Your Analytical Skills: Since this role demands excellent analytical skills, provide examples of how you've used these in past roles. We want to see how you’ve driven data-driven initiatives and created impactful data products.
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 in our Chief Data & Analytics Office!
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 a data-driven culture.
✨Cultural Fit Matters
Research the company’s values and culture. Be prepared to discuss how your personal values align with theirs, especially regarding promoting a data-driven mindset within the organisation. This will show that you’re not just a fit for the role, but for the company as a whole.
