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- Tasks: Lead data tooling initiatives to boost AI data efficiency and manage a talented team.
- Company: Top cloud solutions provider in the UK with a focus on innovation.
- Benefits: Competitive pay, flexible vacation, health insurance, and a comprehensive benefits package.
- Why this job: Join a dynamic team and make a significant impact in the AI field.
- Qualifications: 7+ years in software development and team management, with AI dataset expertise.
- Other info: Exciting opportunities for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading cloud solutions provider in the UK is seeking an experienced Data Research and Development Manager. This role involves managing data tooling initiatives to enhance AI data efficiency.
Candidates should have over 7 years of experience in software development and team management, along with a strong background in AI training datasets.
This position offers competitive compensation and a comprehensive benefits package, including flexible vacation and health insurance.
AI Data Tools Lead & Data Governance Manager employer: Oracle
Contact Detail:
Oracle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Tools Lead & Data Governance Manager
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We should be ready to discuss how our experience aligns with their goals, especially in AI data efficiency and tooling initiatives. Show them you’re not just another candidate!
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. We can refine our answers and get comfortable discussing our software development and team management 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 often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace AI Data Tools Lead & Data Governance Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development and team management. We want to see how your background aligns with the role of AI Data Tools Lead & Data Governance Manager, 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 tooling initiatives and how your skills can enhance AI data efficiency. Let us know what excites you about this opportunity!
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your expertise in managing data tooling initiatives. Numbers and results speak volumes, so include metrics where possible to show the impact of your work.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Oracle
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI data tooling. Brush up on your experience with training datasets and be ready to discuss specific projects where you've enhanced data efficiency.
✨Showcase Your Leadership Skills
As a Data Governance Manager, you'll need to demonstrate your team management abilities. Prepare examples of how you've successfully led teams in the past, focusing on your approach to collaboration and conflict resolution.
✨Prepare for Technical Questions
Expect to face technical questions related to software development and data governance. Review key concepts and be ready to explain your thought process when tackling complex data challenges.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s data initiatives. Inquire about their current projects or future goals in AI data efficiency to demonstrate your enthusiasm for the role.
