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- Tasks: Lead data governance initiatives and ensure AI compliance for impactful projects.
- Company: Dynamic consultancy firm in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data and AI governance while working with top-tier clients.
- Qualifications: Experience in data governance and strong consulting skills required.
- Other info: Join a collaborative team with exciting projects and career advancement potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: London, England – United Kingdom. UK (Hybrid) with travel to client sites.
Clearance: SC
What you’ll bring (Essential)
- Proven experience in data governance delivery, including:
- Policy & standards, stewardship models, RACI, decision forums.
- Data quality (dimensions, rules, scorecards, monitoring, remediation).
- Metadata & catalogue adoption (business glossary, lineage, classification & sensitivity).
- Privacy & protection in data handling (e.g., DPIAs, retention, access control, auditability).
- Training data preparation and validation (provenance, quality, representativeness, bias mitigation).
- Model selection considerations (interpretability, performance, risk, security constraints).
- Testing & evaluation (appropriate metrics, benchmarking, robustness/fairness/privacy tests, safe red‑team exercises).
- In‑life governance (monitoring, drift detection, risk logging, periodic re‑evaluation and re‑training with realistic data, change approvals).
Desirable
- Experience in UK Central Government, Defence, or other regulated/public sector environments.
- Familiarity with established frameworks/standards (e.g., DAMA‑DMBOK for data; NIST AI RMF 1.0, ISO/IEC 23894 AI risk management, ISO/IEC 27001, UK GDPR/DPA 2018).
- Hands‑on exposure to one or more platforms: Microsoft Purview, Azure ML, Databricks/MLflow, Azure Fabric, Power BI governance; plus experience with data catalogues (e.g., Collibra, Alation) is a bonus.
- Exposure to MLOps processes (model registry, approval workflows, monitoring, incidents & rollbacks) and risk/control libraries (e.g., bias, robustness, security, IP, privacy).
- Aware of secure development and deployment constraints (e.g., air‑gapped networks, protective monitoring, model and data escrow).
Data & AI Governance Consultant employer: ComXps
Contact Detail:
ComXps Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Governance Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space, especially those who work in governance. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills in interviews! Prepare to discuss your experience with data governance delivery and AI assurance. Use real-life examples to demonstrate how you've tackled challenges in these areas—this will make you stand out.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications through our website. A quick email or message can show your enthusiasm and keep you on the radar of hiring managers.
✨Tip Number 4
Stay updated on industry trends! Familiarise yourself with frameworks like DAMA-DMBOK and NIST AI RMF. Being knowledgeable about current standards will not only help in interviews but also show that you're serious about your career in data governance.
We think you need these skills to ace Data & AI Governance Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your data governance delivery experience and any relevant frameworks you've worked with. We want to see how you fit into our world!
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 assurance. Share specific examples of your past work that align with what we’re looking for, and don’t forget to show your personality!
Showcase Your Consulting Skills: Since strong consulting fundamentals are key, make sure to highlight your structured problem-solving and stakeholder communication skills. We love seeing how you’ve facilitated discussions or documented processes in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at ComXps
✨Know Your Data Governance Inside Out
Make sure you brush up on your knowledge of data governance delivery. Be ready to discuss policies, stewardship models, and data quality metrics. Having specific examples from your past experience will show that you not only understand the theory but can also apply it in practice.
✨Showcase Your AI Assurance Skills
Prepare to talk about your practical understanding of AI assurance. Think about how you've handled training data preparation, model selection, and testing. Bring examples of how you've mitigated bias or ensured data quality to the table—this will demonstrate your hands-on experience.
✨Consulting Fundamentals are Key
Highlight your structured problem-solving skills and your ability to communicate effectively with stakeholders. Practice explaining complex concepts in simple terms, as this will be crucial in a consulting role. Remember, they want to see how you can facilitate discussions and document findings.
✨Familiarise Yourself with Relevant Frameworks
If you have experience with frameworks like DAMA-DMBOK or NIST AI RMF, make sure to mention it. Even if you don’t have direct experience, showing that you understand these standards and their importance in data governance will set you apart. Do a bit of research on them before the interview!
