At a Glance
- Tasks: Lead cross-domain Data Architecture for major banking programmes and initiatives.
- Company: Join a major global bank with a focus on innovation and collaboration.
- Benefits: Competitive salary up to Β£120,000, bonus, and hybrid working options.
- Other info: Opportunity to lead and mentor other architects while driving impactful projects.
- Why this job: Shape the future of data architecture in a dynamic banking environment.
- Qualifications: Experience in Corporate & Investment Banking and strong data architecture skills.
The predicted salary is between 72000 - 88000 Β£ per year.
Global Banking | London | Hybrid | Up to Β£120,000 + Bonus
We are partnering with a major global bank to appoint an EMEA Cross-Domain Data Architect Lead at Director level.
This is a senior Data Architecture role sitting at the intersection of business, data and technology, with responsibility for shaping data architecture across multiple areas of the Corporate & Investment Bank.
We are looking for someone who brings strong Data Architecture expertise alongside a genuine understanding of how a Corporate & Investment Bank operates.
You should be comfortable discussing banking products, the trade lifecycle, key business functions and how data moves between them.
The role
You will
- Lead cross-domain Data Architecture across major EMEA programmes and initiatives.
- Define current and target-state data architectures, data flows and domain boundaries.
- Work with senior business, technology, data and governance stakeholders.
- Translate complex business processes and requirements into clear Data Architecture.
- Apply your understanding of the trade lifecycle to identify how data is created, transformed, consumed and governed.
- Work across multiple CIB products, functions and data domains.
- Identify dependencies and data flows between areas such as Front Office, Operations, Risk, Finance and Treasury.
- Provide architectural direction and challenge across programmes.
- Support Data Governance, Data Management and conceptual/logical data modelling.
- Help establish consistent Data Architecture standards and practices across EMEA.
- Provide leadership and guidance to other architects while remaining close to the architecture itself.
What we're looking for
- You will be an experienced Data Architect / Enterprise Data Architect with:
- Strong experience within Corporate & Investment Banking.
- Good understanding of the end-to-end trade lifecycle.
- Knowledge of products offered within a Corporate & Investment Bank and the data associated with them.
- Understanding of the key functions within a CIB and how they interact.
- Experience applying banking domain knowledge to Data Architecture decisions in practice.
- Strong conceptual and logical data architecture/modelling capability.
- Experience defining target-state architectures and complex data flows across multiple domains.
- Confidence working with senior business and technology stakeholders.
- The ability to operate at both strategic and detailed architecture levels.
- Experience leading or providing direction to other Data Architects.
This would suit someone who understands that effective Data Architecture in banking requires more than technology knowledge.
You will be able to understand the business processes, products and data behind them, and use that knowledge to shape architecture across organisational and domain boundaries.
Cross Domain Lead Data Architect / Business Domain Data Architect β Director in London employer: Maru Search & Consultancy Careers
As a leading technology consultancy, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Cloud Solutions Consultants enjoy flexible hybrid working arrangements, competitive salaries, and a comprehensive benefits package, including private medical insurance and generous pension contributions. With a strong focus on employee growth, we offer excellent career progression opportunities while working on impactful cloud transformation programmes for major UK Government clients.
Contact Details:
Maru Search & Consultancy Careers Recruitment Team
StudySmarter Expert Adviceπ€«
We think this is how you could land Cross Domain Lead Data Architect / Business Domain Data Architect β Director in London
β¨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Maru Search & Consultancy Careers!
β¨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Cross Domain Lead Data Architect / Business Domain Data Architect β Director at Maru Search & Consultancy Careers.
β¨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Maru Search & Consultancy Careers.
β¨Apply Directly through Our Website
When you find a suitable opening like Cross Domain Lead Data Architect / Business Domain Data Architect β Director at Maru Search & Consultancy Careers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesnβt love a direct application? Itβs easier than navigating through job boards!
We think you need these skills to ace Cross Domain Lead Data Architect / Business Domain Data Architect β Director in London
Some tips for your application π«‘
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Donβt forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Maru Search & Consultancy Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why youβre a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Maru Search & Consultancy Careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Maru Search & Consultancy Careers
β¨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
β¨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, itβll really make us stand out!
β¨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Maru Search & Consultancy Careers!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.