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- Tasks: Shape data architecture and ensure robust governance aligned with business strategy.
- Company: Leading motoring organisation with a focus on innovation and excellence.
- Benefits: Permanent full-time contract, annual bonus, private medical insurance, and hybrid working model.
- Why this job: Join a pivotal role in data strategy and make a real impact in the industry.
- Qualifications: Solid background in data modelling and analytics ecosystems required.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading motoring organisation is seeking an experienced Enterprise Data Architect to join their team. This role is pivotal to shaping the data architecture aligned with business strategy, ensuring robust governance. The ideal candidate will have a solid background in data modelling and analytics ecosystems. Located in London with a hybrid working model, this position offers a permanent full-time contract along with numerous benefits, including an annual bonus and private medical insurance.
Enterprise Data Architect: Lead Data Strategy & Governance in London employer: The AA
Contact Detail:
The AA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect: Lead Data Strategy & Governance in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its data strategy. Understand their challenges and think about how your skills in data modelling and governance can help them succeed. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience with analytics ecosystems and how it aligns with their needs. A confident and clear presentation of your skills can set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Enterprise Data Architect role. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Enterprise Data Architect: Lead Data Strategy & Governance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Enterprise Data Architect role. Highlight your background in data modelling and analytics ecosystems, as this is key for us.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our team and how you can contribute to shaping our data strategy and governance.
Showcase Relevant Projects: If you've worked on projects that demonstrate your expertise in data architecture, don’t hold back! Share specific examples that illustrate your ability to align data strategies with business goals.
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!
How to prepare for a job interview at The AA
✨Know Your Data Inside Out
Make sure you brush up on your data modelling and analytics ecosystems knowledge. Be prepared to discuss specific projects where you've shaped data architecture and how it aligned with business strategy. This will show that you understand the role's requirements and can bring valuable insights.
✨Showcase Governance Experience
Since governance is a key part of this role, think of examples where you've implemented or improved data governance frameworks. Be ready to explain how these frameworks benefited the organisation and ensured data integrity. This will demonstrate your capability in leading data strategy.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges related to data architecture and governance. Practise articulating your thought process and decision-making skills in these scenarios. This will help you convey your strategic thinking and problem-solving abilities.
✨Emphasise Collaboration Skills
As this role involves working closely with various teams, highlight your experience in cross-functional collaboration. Share examples of how you've successfully partnered with stakeholders to drive data initiatives. This will illustrate your ability to work within a hybrid model and adapt to different team dynamics.
