At a Glance
- Tasks: Lead Data & AI initiatives and drive enterprise-wide innovation.
- Company: Leading technology firm with a high-performing architecture team.
- Benefits: Hybrid working flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of Data & AI while making a real impact on enterprise transformation.
- Qualifications: Experience in data architecture and strong collaboration skills.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm is seeking a visionary Data Architect to join their high-performing architecture team. This role involves leading Data & AI initiatives and driving enterprise-wide innovation with hybrid working flexibility. The successful candidate will shape the Data & AI strategy and collaborate with various IT and business functions to design scalable data architecture that supports significant transformation efforts.
Data & AI Architect — Enterprise Transformation (Hybrid) in Burton upon Trent employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Architect — Enterprise Transformation (Hybrid) in Burton upon Trent
✨Tip Number 1
Network like a pro! Reach out to professionals in the Data & AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal project that highlights your expertise in data architecture and AI initiatives. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by researching the company’s current Data & AI strategies. We want you to walk in with insights that show you’re not just a candidate, but a potential game-changer for their enterprise transformation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data & AI Architect — Enterprise Transformation (Hybrid) in Burton upon Trent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data & AI Architect role. Highlight your experience with data architecture and any relevant projects that showcase your skills in driving enterprise-wide innovation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your vision aligns with our mission at StudySmarter. Don’t forget to mention your hybrid working preferences!
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include specific tools, technologies, and methodologies you’ve used in previous roles that relate to data and AI initiatives. This will help us understand your fit for the team.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Sanderson
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data architecture and AI. Brush up on your knowledge of scalable data solutions and be ready to discuss how you've implemented these in past roles.
✨Showcase Your Vision
Prepare to articulate your vision for Data & AI initiatives. Think about how you can drive enterprise-wide innovation and be ready to share specific examples of how you've led similar transformations in previous positions.
✨Collaborate Like a Pro
Since this role involves working with various IT and business functions, be prepared to discuss your collaboration skills. Have examples ready that demonstrate how you’ve successfully worked across teams to achieve common goals.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current data strategy and future plans. This shows your genuine interest and helps you assess if the company aligns with your career goals.