At a Glance
- Tasks: Lead the design and governance of Barclays' data architecture to support innovative AI solutions.
- Company: Join Barclays, a leading financial institution committed to innovation and excellence.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and continuous learning.
- Why this job: Shape the future of banking with cutting-edge AI technology and make a real impact.
- Qualifications: Experience in AI/ML architecture and strong stakeholder engagement skills.
The predicted salary is between 80000 - 100000 € per year.
hackajob is collaborating with Barclays to connect them with exceptional professionals for this role. Join us at Barclays as an AI Enterprise Architect, where you will drive the definition, direction, and governance of the bank’s target data architecture—including shared data environments, data models, and standards—in support of business strategy. Aligned to the CTO organisation and AI Accelerator, you will support the delivery of enterprise AI capabilities, patterns, and guard rails, ensuring data and AI solutions are accurate, secure, and accessible to stakeholders. This role is based out of Knutsford.
Purpose of the role
To define, direct and govern the bank’s target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders.
Key Skills & Experience
- AI/ML Architecture: AI/ML frameworks, multi cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design.
- Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy.
- Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross‑functional AI initiatives.
Some other highly valued skills may include:
- Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services.
- Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real‑time data processing.
- Emerging Technology: Generative AI, LLMs, edge AI, quantum computing potential, AI security, and bias mitigation.
Accountabilities
- Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan.
- Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage.
- Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information.
- Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress.
- Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access.
- Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports.
- Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio.
- Identification and selection of best-in‑class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards.
AI Enterprise Architect in Knutsford employer: hackajob
Barclays is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of AI and data architecture. Located in Knutsford, employees benefit from a supportive work environment that prioritises professional growth, offering numerous opportunities for skill development and career advancement. With a commitment to ethical AI practices and a focus on stakeholder engagement, Barclays empowers its team members to make a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enterprise Architect in Knutsford
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Barclays. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with AI/ML architecture and how you've tackled challenges in data governance. Let them see the real you and what you can bring to the table.
✨Tailor Your Approach
Before any interview, do your homework on Barclays and their data architecture strategy. Tailor your answers to show how your skills align with their needs. This shows you're not just another candidate; you're the right fit!
✨Apply Through Our Website
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’re always looking for exceptional talent like you to join our team!
We think you need these skills to ace AI Enterprise Architect in Knutsford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Enterprise Architect role. Highlight your experience with AI/ML architecture and enterprise governance, as these are key for us at Barclays. Use specific examples that showcase your skills in data architecture and stakeholder engagement.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your passion for AI and how your background aligns with the bank's goals. Keep it concise but impactful—this is your first impression!
Showcase Relevant Projects:If you've worked on projects related to data architecture or AI solutions, make sure to include them in your application. We want to see how you've tackled challenges and delivered results in similar environments. Real-world examples can set you apart!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Barclays and how you can contribute.
How to prepare for a job interview at hackajob
✨Know Your AI/ML Architecture Inside Out
Make sure you’re well-versed in AI/ML frameworks and multi-cloud platforms. Brush up on your knowledge of data architectures and MLOps, as these are crucial for the role. Be ready to discuss how you've applied these concepts in previous projects.
✨Master Enterprise Architecture & Governance
Familiarise yourself with EA frameworks and ethical AI practices. Understand compliance requirements and how they align with business and IT strategies. Prepare examples of how you've successfully governed data architecture in past roles.
✨Engage Stakeholders Effectively
Practice clear communication of complex AI concepts. Think about how you’ve engaged senior stakeholders in the past and be ready to share those experiences. Highlight your leadership in cross-functional AI initiatives to showcase your collaborative skills.
✨Stay Updated on Emerging Technologies
Keep abreast of the latest trends in generative AI, LLMs, and quantum computing. Be prepared to discuss how these technologies can impact the financial services sector and how you would incorporate them into the bank's data architecture strategy.
