At a Glance
- Tasks: Lead the Patient Solutions Data Foundations team and shape data governance across the organisation.
- Company: Join a forward-thinking company dedicated to research and innovation in healthcare.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse stakeholders and excellent career advancement opportunities.
- Why this job: Make a real impact by driving AI-driven insights and improving data quality.
- Qualifications: Degree in Computer Science or related field; experience in data architecture and governance.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Data Architect to lead the Patient Solutions Data Foundations team, based in Slough, UK (Windlesham, Surrey 2027), Braine l’Alleud, Belgium or Boston, US.
About The Role
You will play a key role in shaping how data is structured, governed, and used across the organisation. You will define standards for data and metadata, enabling scalable, high-quality data foundations that support research, innovation, and AI‑driven insights.
Responsibilities
- Define and govern enterprise ontologies and identifiers to ensure consistent and traceable data across the organisation
- Implement scalable metadata management processes to improve data quality, lineage, and discoverability
- Lead adoption of AI tools to automate metadata extraction and improve knowledge management
- Partner with data owners to embed standards at the point of data creation
- Design and refine scalable data models aligned to research and business needs
- Develop data products supporting priority programmes and strategic use cases
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Management, or related field
- Experience in enterprise data architecture, metadata governance, and data modelling
- Strong understanding of structured and unstructured data management
- Experience applying AI‑driven approaches to data or metadata management
- Ability to work across complex environments and collaborate with diverse stakeholders
- Relevant certifications (e.g. DAMA, TOGAF, CDMP) are a plus
Equal Opportunity Statement
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws.
Accommodation Contact
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us on EMEA-Reasonable_Accommodation@ucb.com. Please note if your enquiry does not relate to adjustments, we will not be able to support you through this channel.
Data Architect employer: UCB
UCB is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Data Architect role based in Slough. With a strong commitment to employee growth, UCB offers opportunities to lead cutting-edge projects in data governance and AI-driven insights, while also providing a supportive environment that values diversity and inclusion. Employees benefit from a focus on professional development and the chance to make a meaningful impact in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving AI-driven insights. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process when designing scalable data models or implementing metadata management processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Architect role. Highlight your experience in data architecture, metadata governance, and any AI-driven projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our Patient Solutions Data Foundations team. Be genuine and let your personality come through.
Showcase Relevant Experience:When filling out your application, focus on your relevant experience. Whether it's designing scalable data models or implementing metadata management processes, we want to know how you've tackled similar challenges in the past.
Apply Through Our Website:Don't forget to apply through our website! It's the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate!
How to prepare for a job interview at UCB
✨Know Your Data Inside Out
As a Data Architect, you’ll need to demonstrate a solid understanding of data structures and governance. Brush up on your knowledge of enterprise ontologies and metadata management processes. Be ready to discuss how you've implemented these in past roles.
✨Showcase Your AI Savvy
Since the role involves adopting AI tools for metadata extraction, be prepared to share specific examples of how you've used AI in your previous projects. Highlight any successes or challenges you faced and how you overcame them.
✨Collaborate Like a Pro
This position requires working with diverse stakeholders. Think of examples where you’ve successfully collaborated across teams. Emphasise your communication skills and how you’ve embedded standards at the point of data creation.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare insightful questions about the company’s data strategy and how they envision the role evolving. This shows your genuine interest and helps you assess if it’s the right fit for you.
