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Data & AI Governance Consultant
Job in
Greater London, London, Greater London, EC1A, England, UK
Listed on 2026-01-18
Listing for:
Comxps Ltd
Full Time
position Listed on 2026-01-18
Job specializations:
-
IT/Tech
Data Security, Data Analyst
Job Description & How to Apply Below
Location: Greater London
Location: London, England – United Kingdom. UK (Hybrid) with travel to client sites
PERM ROLE
Clearance: SC
- 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).
- Practical understanding of AI assurance, covering:
- 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).
- Strong consulting fundamentals: structured problem‑solving, facilitation, documentation, and stakeholder communication.
- Ability to work under general direction, plan own work, and enable others—aligned to SFIA Level 4 expectations.
- Excellent written/spoken English.
- 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).
- Awareness of secure development and deployment constraints (e.g., air‑gapped networks, protective monitoring, model and data escrow).
Our dedicated team would be pleased to discuss in more detail how we may be able to help.
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