Head of Data Architecture (Basé à London)

Jobleads
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Head of Data Architecture

Head Of Data Engineering (Basé à London)

Head Of Data Engineering (Basé à London)

Head of Data Engineering | London, UK | Hybrid (Basé à London)

Head of Data Engineering | London, UK | Hybrid (Basé à London)

Interim Head of Data & Analytics

Head of Data Architecture

By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Team/Role Overview:
As the Head of Data Architecture, you will be pivotal in designing, implementing, and maintaining the data architecture essential for our decision-making processes. Your role ensures the integrity, security, and reliability of our operational data infrastructure.

What you’ll do

  • Advance Analytics: Drive the evolution of advanced analytics platforms, enabling the global operations teams to leverage data-driven insights for strategic decisions.
  • Design & Implement: Craft comprehensive data architecture solutions to meet operational and analytical needs, ensuring scalability and performance.
  • Develop & Maintain: Create and update detailed data models, dictionaries, and flow diagrams to document our complex data landscape accurately.
  • Collaborate: Work closely with business, operations, and technology partners to understand and address critical data needs, aligning solutions with business objectives.
  • Evaluate Tools: Research, evaluate, and recommend cutting-edge data management tools and technologies to support the organization's data architecture goals.
  • Governance: Partner with data governance teams to implement robust data quality, security measures, and ensure compliance with regulatory requirements.

What we’ll need from you:

  • Extensive experience in global financial institutions.
  • Proven background in data architecture management.
  • Strong knowledge of database technology, data warehousing, and data governance.
  • Proficiency with data visualization tools like Tableau or Power BI.
  • Excellent communication and collaboration skills.
  • Master's degree in Data Architecture, Information Management, Computer Science, Statistics, or related field, or equivalent experience.

What we can offer you

We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

  • Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure

  • A discretional annual performance related bonus

  • Private medical insurance packages to suit your personal circumstances

  • Employee Assistance Program

  • Pension Plan

  • Paid Parental Leave

  • Special discounts for employees, family, and friends

  • Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.

#LI-SM9

------------------------------------------------------

Job Family Group:

Operations - Services

------------------------------------------------------

Job Family:

Reference Data Services

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity reviewAccessibility at Citi.

View Citi’sEEO Policy Statementand theKnow Your Rightsposter.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.