At a Glance
- Tasks: Lead the Data Architecture team, define AI standards, and collaborate on enterprise-level solutions.
- Company: Deutsche Bank is a leading German bank with a strong global presence and commitment to diversity.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, private healthcare, and flexible perks.
- Why this job: Join a culture of continuous learning and innovation while making an impact in AI and data architecture.
- Qualifications: Experience in architecture, AI tooling, and large-scale data projects within financial services required.
- Other info: We value diversity and support reasonable adjustments for employees with disabilities.
The predicted salary is between 48000 - 72000 £ per year.
Job Title: Data Architect (AI Specialism)
Location: London
Corporate Title: Vice President
The Group Architecture team drives the development of a clear target state architecture for Deutsche Bank, together with the governance processes, supporting tools, standards, and frameworks required to deliver this. This requires strong collaboration and buy-in across Deutsche Bank, working closely with federated business, infrastructure, and CDI teams.
The Data Architecture team working in Group Architecture plays an important role in the delivery of the Data components of the IT strategy, defining the Data Architecture roadmap and standards and identifying opportunities for technology such as Cloud and AI.
What we’ll offer you:
- Hybrid Working – we understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- Competitive salary and non-contributory pension.
- 30 days’ holiday plus bank holidays, with the option to purchase additional days.
- Life Assurance and Private Healthcare for you and your family.
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme, and Gym benefits.
- The opportunity to support a wide-ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities:
- Leading a key part of the Data Architecture team within Group Architecture, providing strategy guidance, best practice design for the enterprise, and mentorship of the team.
- Defining and driving the data architecture standards and requirements for AI that need to be enabled and used.
- Identifying and supporting the creation of AI use cases focused on the delivery of the data architecture strategy, data governance tooling, and deployment of a mesh architecture.
- Collaborating across the CIO Solution/Domain/Data architecture teams to design and develop enterprise-level solutions that align with business objectives, data strategies, and architectural principles.
- Working with the technology teams to drive the design of the target architecture, develop architectural blueprints, roadmaps, and implementation plans for data-centric projects, ensuring scalability, performance, and data integrity.
- Conducting architecture reviews and assessments to identify risks, recommend mitigation strategies, and ensure compliance with regulatory and industry standards.
Your skills and experience:
- Background in architecture, with experience either across front office Business Divisions or Risk, Finance, and Treasury systems within Financial Services.
- Demonstrable experience in designing and deploying AI tooling architectures and use cases.
- Understanding of data management principles, including data governance, data quality, and data integration.
- Proficiency in designing and implementing scalable and secure enterprise solutions, considering performance, reliability, and security aspects, leveraging detailed data modelling and data architecture skills with Data Mesh and Data Product patterns.
- Strong analytical and problem-solving skills, with the ability to identify complex business requirements and translate them into technical solutions.
- Experience on large-scale data-centric projects within a regulated environment in the definition and implementation of the target architecture of the Enterprise.
How we’ll support you:
- Training and development to help you excel in your career.
- Flexible working to assist you in balancing your personal priorities.
- A culture of continuous learning to aid progression.
- A range of flexible benefits that you can tailor to suit your needs.
- We value diversity and as an equal opportunity employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g., screen readers, assistive hearing devices, adapted keyboards).
About us:
Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to have been named a The Times Top 50 Employers for Gender Equality 2024 for five consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion.
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative, and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair, and inclusive work environment.
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Data Architect (AI Specialism) employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (AI Specialism)
✨Tip Number 1
Familiarize yourself with the latest trends in AI and data architecture. Being able to discuss current technologies and methodologies during your interview will show that you're not only knowledgeable but also passionate about the field.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work in data architecture or AI. Attend industry events or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented data governance or AI solutions. Highlighting your hands-on experience will demonstrate your capability to contribute effectively to Deutsche Bank's objectives.
✨Tip Number 4
Research Deutsche Bank's culture and values, particularly their commitment to diversity and inclusion. Be ready to articulate how your personal values align with theirs, as cultural fit is often a key consideration in hiring decisions.
We think you need these skills to ace Data Architect (AI Specialism)
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Architect position. Understand the key responsibilities and required skills, especially those related to AI and data architecture.
Tailor Your CV: Customize your CV to highlight relevant experience in data architecture, AI tooling, and large-scale data-centric projects. Use specific examples that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background with the requirements of the role. Emphasize your experience in designing scalable enterprise solutions and your understanding of data governance principles.
Showcase Collaboration Skills: Since the role requires strong collaboration across teams, include examples in your application that demonstrate your ability to work effectively with diverse groups, particularly in a regulated environment.
How to prepare for a job interview at Deutsche Bank
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the Data Architect role, especially the AI specialism. Familiarize yourself with the key responsibilities such as defining data architecture standards and collaborating with various teams.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience in designing and deploying AI tooling architectures. Highlight specific projects where you've implemented scalable and secure enterprise solutions, focusing on data governance and integration.
✨Demonstrate Collaboration Skills
Since the role requires strong collaboration across different teams, be ready to provide examples of how you've successfully worked with cross-functional teams in the past. Emphasize your ability to drive consensus and align objectives.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your analytical and problem-solving skills. Prepare to discuss complex business requirements you've encountered and how you translated them into effective technical solutions.