Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Architecture Data Analyst

Deutsche Bank
London
5 months ago
Applications closed

Related Jobs

View all jobs

Big Data Analyst - Robert Walters

Big Data Analyst

Marketing Data Analyst

Senior Data Analyst

Senior Data Analyst- Data Management (Treasury Products)

Marketing Data Analyst

Job Description:

Job TitleArchitecture Data Analyst

LocationLondon

Corporate TitleVice President

Group Architecture (GA) is part of the Technology, Data & Innovation (TDI) division. GA plays a pivotal role in accelerating the delivery of a bank-wide simplified target architecture that enhances agility, increases technology speed-to-market, and reduces costs. GA's activities include developing target architectures and roadmaps, implementing governance frameworks, deploying strategic tools, ensuring design discipline, and establishing policies and standards.

The Architecture Strategy team within GA coordinates the Bank’s target state architecture definition and execution. This is aligned with TDI strategies and standards, optimized to reduce duplication, increase capability, and balance cost.

What we’ll offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:

  • Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented aHybrid Working Modelthat 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

  • Analyse complex datasets (structured and unstructured) to produce concise summaries, insights, and proposals
  • Contribute to defining the strategic digital architecture framework and building a digital architecture and management information system (A&MI)
  • Produce high-quality architecture reporting that becomes a standard/guide across Group and Domain Architecture of the Bank
  • Encourage better ways of working, embedding architecture and design into our culture, working across other architecture functions to refine how we do architecture in the firm, aligned with optimized ways of working

Your skills and experience

  • Experience collaborating with stakeholders to document current states, develop target and transition architectures, and resulting business & technology roadmaps
  • Experience in architecture governance, including defining and assessing compliance with architecture principles
  • Ability to summarize complex architecture/design-related challenges in simple terms for senior management
  • Knowledge of enterprise architecture frameworks such as TOGAF and Zachman
  • Awareness of ArchiMate modelling language preferable
  • Practical data analysis skills, including data extraction, cleaning, preparation, validation, and reporting

How we’ll support you

  • Training and development to help you excel in your career
  • Coaching and support from experts in your team
  • A culture of continuous learning to aid progression
  • A range of flexible benefits that you can tailor to suit your needs

About us

Deutsche Bankis the leading German bank with strong European roots and a global network. Clickhereto see what we do.

Deutsche Bank in the UK is proud to have been named aThe Times Top 50 Employers for Gender Equality 2024for five consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in theirTop 100 Employers 2024for our work supporting LGBTQ+ inclusion.

We strive for aculturein 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.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.