Contract Authority: Government Client
PERMANENT ROLE
Security Clearance: SC Cleared

What you’ll bring (Essential)
· Proven experience in data governance delivery, including:
o Policy & standards, stewardship models, RACI, decision forums.
o Data quality (dimensions, rules, scorecards, monitoring, remediation).
o Metadata & catalogue adoption (business glossary, lineage, classification & sensitivity).
o Privacy & protection in data handling (e.g., DPIAs, retention, access control, auditability).
· Practical understanding of AI assurance, covering:
o Training data preparation and validation (provenance, quality, representativeness, bias mitigation).
o Model selection considerations (interpretability, performance, risk, security constraints).
o Testing & evaluation (appropriate metrics, benchmarking, robustness/fairness/privacy tests, safe red-team exercises).
o 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.
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).
· Awareness of secure development and deployment constraints (e.g., air-gapped networks, protective monitoring, model and data escrow).

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