At a Glance
- Tasks: Design scalable data platforms and collaborate on AI solutions with diverse teams.
- Company: BNY, a leading financial institution prioritising innovation and employee wellbeing.
- Benefits: Competitive compensation, generous paid leave, and comprehensive benefits.
- Other info: Dynamic work environment with opportunities for professional growth.
- Why this job: Join a forward-thinking team and shape the future of AI in finance.
- Qualifications: Bachelor's degree in a related field and solid data engineering experience.
The predicted salary is between 70000 - 90000 € per year.
BNY is hiring a Vice President, AI / Machine Learning Data Engineer II in Manchester. This role involves designing scalable data platforms and collaborating with cross-functional teams to deliver AI solutions.
Candidates should have a Bachelor's degree in a related field and solid experience in data engineering.
BNY offers competitive compensation, benefits, and a focus on employee wellbeing, including generous paid leave policies.
VP, AI/ML Data Platform Architect employer: BNY
At BNY, we pride ourselves on being an excellent employer, particularly for the role of Vice President, AI/ML Data Platform Architect in Manchester. Our commitment to employee wellbeing is reflected in our competitive compensation packages, generous paid leave policies, and a collaborative work culture that fosters innovation and professional growth. Join us to be part of a forward-thinking team where your contributions will make a meaningful impact in the field of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land VP, AI/ML Data Platform Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data platforms and AI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in data engineering. Practice common interview questions with a friend or mentor.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace VP, AI/ML Data Platform Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and AI/ML. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Collaboration Skills:Since this role involves working with cross-functional teams, make sure to highlight any collaborative projects you've been part of. We value teamwork, so let us know how you’ve successfully worked with others to deliver results.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at BNY
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data engineering, especially around AI and machine learning. Brush up on your knowledge of scalable data platforms and be ready to discuss specific projects where you've implemented these solutions.
✨Showcase Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked with different departments to deliver a project and how you navigated any challenges.
✨Prepare for Technical Questions
Expect some technical questions that will test your understanding of data architecture and engineering principles. Review common algorithms, data structures, and design patterns relevant to AI/ML, and be ready to explain your thought process clearly.
✨Align with Company Values
BNY places a strong emphasis on employee wellbeing and benefits. Familiarise yourself with their culture and values, and be prepared to discuss how your personal values align with theirs. This shows that you’re not just a fit for the role, but also for the company.
