At a Glance
- Tasks: Lead the design of governance frameworks for data and AI platforms.
- Company: Join UST, a forward-thinking organisation driving innovation.
- Benefits: Full-time role with opportunities for professional growth and collaboration.
- Other info: Work with dynamic teams on enterprise-scale projects.
- Why this job: Shape responsible AI and data governance in high-impact environments.
- Qualifications: Strong experience in data governance and AI principles required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a Governance Architect – AI & Data to lead the design and implementation of enterprise‑grade governance frameworks across data and AI platforms. This role is critical in ensuring compliance, trust, and auditability, particularly for highly regulated environments. You will play a pivotal role in shaping governance strategies that enable innovation while maintaining stringent regulatory and ethical standards.
Location: London / Nottingham
Employment Type: Full‑time
Company: UST
Key Responsibilities
- Data Governance
- Define and implement enterprise data governance frameworks
- Establish data lineage, cataloguing, and ownership models
- Design and manage data contracts and service‑level objectives (SLOs)
- Build and enforce data quality frameworks across platforms
- AI Governance
- Develop and operationalise AI governance frameworks
- Implement controls for:
- Model explainability and traceability
- Bias detection and mitigation
- Hallucination risk management at a policy level
- Ensure governance across AI lifecycle and outputs
- Compliance & Controls
- Ensure adherence to regulatory standards (e.g., GDPR, financial data controls)
- Design audit‑ready data pipelines and AI outputs
- Define and enforce enterprise controls including:
- Role‑Based / Attribute‑Based Access Control (RBAC/ABAC)
- Data masking and PII protection
- Standards & Validation
- Establish validation frameworks across both data pipelines and AI systems
- Define governance standards for data integrity and model outputs
Required Skills & Experience
Mandatory
- Strong experience in data governance frameworks
- Expertise in:
- Data lineage & catalog tools
- Data quality (DQ) frameworks
- Solid understanding of AI governance principles
- Experience designing governance for regulated industries
Nice to Have
- Hands‑on experience with data or AI engineering implementation
Why Join Us?
- Shape the future of responsible AI and data governance
- Work on high‑impact, regulated client environments
- Collaborate with forward‑thinking teams in AI and digital transformation
- Be part of an organisation driving enterprise‑scale innovation
If you're passionate about enabling trusted, compliant, and scalable AI ecosystems, we’d love to hear from you.
Governance Architect - AI & Data (Data Architect II) in Nottingham employer: UST
UST is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic fields of AI and data governance. With a strong commitment to employee growth, we offer extensive training and development opportunities, ensuring our team members are at the forefront of industry advancements. Located in vibrant London and Nottingham, our work environment promotes a healthy work-life balance while engaging in meaningful projects that shape the future of responsible AI.
StudySmarter Expert Advice🤫
We think this is how you could land Governance Architect - AI & Data (Data Architect II) in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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
Prepare for interviews by researching the company and its governance frameworks. Be ready to discuss how your experience aligns with their needs, especially around data quality and compliance. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest. It keeps you fresh in their minds and shows your enthusiasm.
✨Tip Number 4
Apply directly 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 at UST.
We think you need these skills to ace Governance Architect - AI & Data (Data Architect II) in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Governance Architect – AI & Data. Highlight your experience with data governance frameworks and any relevant 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 explain why you're passionate about data governance and AI. Share specific examples of how you've implemented governance strategies in the past, and let us know how you can contribute to our mission.
Showcase Relevant Skills:Don’t forget to emphasise your expertise in data lineage, cataloguing, and quality frameworks. Mention any hands-on experience you have with AI governance principles too. We’re keen to see how your background fits into our vision for responsible AI and data governance.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at UST
✨Know Your Governance Frameworks
Make sure you brush up on your knowledge of data governance frameworks. Be ready to discuss how you've implemented these in the past, especially in regulated environments. Highlight specific examples where your frameworks ensured compliance and trust.
✨Showcase Your AI Governance Expertise
Prepare to talk about AI governance principles, particularly around model explainability and bias detection. Think of real-world scenarios where you've had to manage these aspects and be ready to share your strategies for mitigating risks.
✨Demonstrate Your Compliance Savvy
Familiarise yourself with relevant regulations like GDPR and how they impact data governance. Be prepared to discuss how you've designed audit-ready data pipelines and enforced controls in previous roles.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to data and AI governance. This shows your genuine interest and helps you gauge if their values align with yours.
