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- Tasks: Lead enterprise data architecture efforts and maintain data standards.
- Company: Leading asset management firm in Manchester with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape the future of data architecture in a dynamic investment environment.
- Qualifications: Extensive experience in data modelling and strong communication skills.
- Other info: Diverse backgrounds are encouraged; join a team that values inclusion.
The predicted salary is between 43200 - 72000 £ per year.
A leading asset management firm in Manchester is seeking a Data Architect to lead the enterprise data architecture efforts. The role involves maintaining data architecture standards, collaborating with various teams, and ensuring that data models reflect business requirements accurately.
The ideal candidate will have extensive experience in data modelling, a strong understanding of asset management concepts, and the ability to communicate effectively with both technical and non-technical stakeholders. Inclusion and diverse backgrounds are encouraged in applications.
Enterprise Data Architect - Investment Data Platform in Manchester employer: Insight Investment
Contact Detail:
Insight Investment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect - Investment Data Platform in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the asset management space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data modelling projects and how they’ve impacted business outcomes. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by rehearsing with a friend or using mock interviews. We want you to feel confident when discussing your experience.
✨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 Enterprise Data Architect - Investment Data Platform in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data modelling and asset management. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since the role involves working with various teams, highlight any past experiences where you’ve successfully collaborated with both technical and non-technical stakeholders. We value communication just as much as technical skills!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Insight Investment
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss different data models you've worked with and how they align with business requirements, especially in the context of asset management.
✨Understand the Business
Familiarise yourself with the asset management industry and the specific challenges it faces. This will help you demonstrate your understanding of how data architecture can support business goals during the interview.
✨Communicate Clearly
Since you'll be interacting with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between different teams and ensure everyone is on the same page.
✨Showcase Collaboration Skills
Prepare examples of how you've successfully collaborated with various teams in the past. Highlight your experience in leading projects and how you ensured that all voices were heard, which is crucial for a role that involves maintaining data architecture standards.