At a Glance
- Tasks: Lead data architecture projects and collaborate with experts to create innovative data solutions.
- Company: Join a forward-thinking tech company focused on data and AI.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data while making a real impact in a dynamic environment.
- Qualifications: Bachelor's degree or equivalent experience in data architecture and management.
- Other info: Mentorship opportunities and a chance to work on cutting-edge data initiatives.
The predicted salary is between 36000 - 60000 £ per year.
Location: Erskine, Newcastle, Farnborough or London (London primarily)
Candidates are required to be eligible for clearance.
Essential Job Functions:- Manage data architecture projects and teams, ensuring project objectives and timelines are met.
- Collaborate with data architects and analysts to implement data solutions, utilizing best practices.
- Participate in defining data requirements and contributing to the development of data strategies.
- Implement data governance and quality standards to maintain data accuracy.
- Support the development of data roadmaps, ensuring adherence to data standards.
- Assist in mentoring and guiding junior staff in data architecture best practices.
- Contribute to data security initiatives and data compliance efforts.
- Provide regular updates on project progress and issues to senior management.
- Bachelor's degree in a relevant field or equivalent combination of education and experience.
- Previous experience in industry, with a background in similar roles.
- Proven experience in data architecture and management.
- Proficiencies in data modeling, data warehousing, ETL processes, and database technologies.
- Continuous learner that stays abreast with industry knowledge and technology.
- Advanced degree in a relevant field is a plus.
- Relevant certifications such as TOGAF, CDMP, or similar are a plus.
AI Technologist (Data & AI) in City of London employer: DXC
Contact Detail:
DXC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Technologist (Data & AI) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data architecture projects. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data governance and architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Technologist (Data & AI) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Technologist role. Highlight your experience in data architecture and management, and don’t forget to mention any relevant projects you've worked on that align with our job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data solutions and how your skills can help us achieve our project objectives. Keep it concise but impactful!
Showcase Your Continuous Learning: We love candidates who are always learning! Mention any recent courses, certifications, or industry knowledge you've gained that relate to data governance, quality standards, or data security initiatives.
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 see your application and get you one step closer to joining our team!
How to prepare for a job interview at DXC
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data architecture, data modelling, and ETL processes. Be ready to discuss specific projects you've worked on and how you implemented best practices. This will show that you’re not just familiar with the concepts but have real-world experience.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data architects and analysts, be prepared to share examples of how you've successfully collaborated in past projects. Highlight your ability to communicate effectively and work as part of a team to achieve project objectives.
✨Demonstrate Continuous Learning
The tech world is always evolving, so it’s crucial to show that you’re a continuous learner. Mention any recent courses, certifications, or industry events you've attended. This will demonstrate your commitment to staying updated with the latest trends and technologies in data and AI.
✨Prepare for Governance and Compliance Questions
Given the importance of data governance and compliance in this role, be ready to discuss your understanding of data quality standards and security initiatives. Think of examples where you've contributed to maintaining data accuracy and compliance in previous roles.