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

Apply Now

Lead Data Architect

Yorkshire Building Society
Leeds
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Cloud Data Engineer - Lead Data Platform & AI

Head of Data Engineering

Lead AI & Data Science for Global Asset Management (Hybrid)

Lead Data Scientist

Lead Data Engineer - Microsoft Fabric - Hybrid - £75k

Lead Data Scientist - Healthcare

As our next Lead Data Architect, you’ll play a leading role in shaping the future state of data management across the organisation. You’ll set standards, processes, design/ build end-to-end data architecture designs and data models to support the business transformation across the Society.

YBS is investing in its data capabilities and you will be part of the team that seeks to embed these within the organisation and build out modern, scalable and governed data platforms. You’ll join a brilliant and diverse team of Data Architects, Analysts, Designers and BI colleagues in our Leeds based Information Architecture and Design function. This is a hybrid role; with remote working and some onsite presence in our central Leeds office, usually once a week.

About the role

You will-

  • Manage and lead a team of data architects within the architecture function
  • Be accountable for all Data Architecture aspects of products/services within the Data Technology Solutions, through effective leadership and shared ownership of technology (front to back).
  • Maintain the Architecture roadmaps to bring to life in conjunction with protecting optimal performance across the existing landscape, influencing legacy risk and technical debt decisions.
  • Be accountable for the research and development of technology, ensuring the Group is in line with Risk Appetite, Road Maps, and Industry and Regulatory standards, supporting the solutions delivery teams investigate and resolve technical complexities and issues.
  • Provide thought leadership and direction on the YBS approach to Architecture. Proactively asses and undertake research activities, including Proof of Concept, extending personal and the teams' knowledge liaising with 3rd parties as required.

About you

Skills required-

  • Broad knowledge and experience of complex technical Data landscapes (Oracle ODI/ODS, BODS, SAS, SAP, Denodo), the delivery methodologies and a variety of software languages and environments.
  • Excellent stakeholder management and influencing skills with the ability to manage and resolve risk and competing/conflicting priorities.
  • Experience with integration platforms, applying structured techniques and an understanding of DevOps and Infrastructure dependency management.
  • Experience in delivering Agile changes into a data platform.
  • Deep knowledge in Infrastructure and/or Software Applications, acting as specialist with the Architecture peer group with ability to draw on expertise across front to back platforms.
  • Knowledge of industry standard design patterns and multi-tier architecture, including SOA, Cloud, Virtualisation and Security.

About us

At YBS we don’t have shareholders, we have members. We care about people and that includes you. So here, you’ll be respected for who you are, you’ll be able to bring your whole self to work, and you’ll have everything you need to build a long and rewarding career.

Flexibility.We offer a range of flexible working options without unsocial hours, which can help you find a healthy work-life balance. Whether it’s finishing early for an appointment or fitting your studies and hobbies in around your working hours, we can help make it work for you. We’re happy to talk flexible working and you can reach out to us anytime to discuss this during the recruitment process.

Development.We want you to feel challenged here. Whatever your ambitions, we’re committed to helping you develop your skills and move ahead in your career journey. From day one, we’ll set you up for success with a brilliant induction and full training plan, all designed to get you up to speed quickly.

Inclusivity.We’re passionate about creating an inclusive environment where everyone is welcome and able to be themselves. If you’ll go the extra mile to help our members, you’ll fit right in and feel you belong here.

About our Benefits

We offer lots of fantastic rewards that you can make the most of in and out of work, including:

  • Holiday.You’ll get 25 days plus Bank Holidays, as well as the option to buy up to a further 5 days.
  • Bonus.At YBS we work collaboratively and share in our success together, so when we reach our goals were all rewarded with an on target bonus of 7% of eligible pay (with the opportunity to earn up to a maximum 15%).
  • Pension.We know how important it is to save towards the future, that’s why we’ll contribute up 11% into your YBS pension.
  • Healthcare.Health and wellbeing are an important part of life at YBS, when you join us you’ll have access to a range of health benefits to suit your life including private medical insurance, dental and healthcare plans.
  • My Benefits.When you join YBS you’ll have access to our self-service benefits portal, where you can access a range of retail, hospitality and health discounts.

Ready to apply?

If you’re excited about this role and want to be part of the YBS team, click apply now to send us your application.

Want more information?

If you have any questions about this role, please contact Holly Gallagher at

Please note: This role will close on Monday 13th January and all applicants will be reviewed in the new year.

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.