National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Enterprise Architect Lead, Data Science & AI

Cramond Bridge
7 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Senior Data Scientist

Chief Data Scientist

Chief Data Scientist

Chief Data Scientist

Chief Data Scientist

Join us as an Enterprise Architect Lead, Data Science & AI

Join a team that is shaping the future of the bank’s data science and AI architecture and governance and help us unlock the full potential of our data

You'll be defining the intentional architecture for your assigned scope in order to ensure that the current architecture being delivered by engineers best supports the enterprise and its long term strategy

With valuable exposure, you’ll be building and leveraging relationships with colleagues across the bank to ensure commercially focused decisions and to create long term value for the bank

What you'll do

We’re embarking on a new and exciting phase of the bank’s transformation agenda, data science and AI architecture play a crucial role in achieving our mission to simplify, reduce risk and enable customer engagement and personalisation. Supporting the development of architectures and roadmaps of innovative data solutions, leveraging data science and AI, is critical to driving simplification, improving data efficiency, and ensuring data risk stays within tolerance.

In this key role, you’ll be defining and communicating the current, resultant and target state architecture for your enterprise solutions using data science & AI. You’ll also be making sure that the architecture links to, and is informed by, our overall strategy and architecture, and produces the architecture outcomes.

We’ll look to you to influence the development of business strategies at an organisational level, identifying transformational opportunities for our businesses and technology areas associated with both new and existing technologies. You’ll manage and mentor a team of specialist and senior data architects dedicated to supporting architectures for solutions using data science and AI fostering a collaborative, high performance culture that encourages innovation.

As well as this, you’ll:

Translate architecture roadmaps into packages of work that allow frequent incremental delivery of value to be included in product backlog

Define, create and maintain architecture models, roadmaps, standards and outcomes, using architecture strategies to ensure alignment to adjacent and higher level model

Work closely with business owners, portfolio managers, product managers and release managers to define the target intentional architecture

Lead complex and technically challenging architectural transformations, coordinating design and platform teams across domains

Stay abreast of the commercial and emerging data technology offerings that may influence current and target Data Science and AI architectures and their governance

Seek out and utilise continuous feedback, fostering adaptive design and engineering practices to drive the collaboration of programmes and teams around a common technical vision

The skills you'll need

We’re looking for someone with a background in defining business and application architectures and roadmaps for data science and AI based solutions. You’ll bring expert knowledge of enterprise data architecture, solution data architecture, architecture for data science and AI with knowledge of industry architecture frameworks such as TOGAF or ArchiMate. 

In addition, you’ll be a thought leader of architecture for data science and AI solutions and enterprise design in the bank influencing business and technology teams. You’ll have excellent communication skills with the ability to clearly communicate complex technical concepts to colleagues up to senior leadership level, along with a good understanding of Agile methodologies with experience of working in an Agile team.

You’ll also have:

Experience of developing, syndicating and communicating architectures, designs and proposals for action

Experience of working with business solution vendors, technology vendors and products within the market

Experience as an enterprise architect with focus on architecture advisory along with experience in AI or ML and Data Science solutions and patterns

Experience with developing, data exploration, visualisation and statistical analysis technologies

Experience with developing, data exploration, visualisation and statistical analysis technologies

An understanding of neural networking, deep learning and LLM architectures

Knowledge of Data Science lifecycle, MLOps, model management and automation

Knowledge of data, architecture frameworks such as DAMA and DCAM as well as data related regulations such as GDPR, CCPA,PCI DSS and BCBS 239

Architecture knowledge of Tableau, AWS data stack, SageMaker, Python, EMR or Spark, Kafka and Snowflake

National AI Awards 2025

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.