Open roleExternal
Data Governance & AI Consultant
- west of england, england, United Kingdom
- Permanent·On-site
- Full time
- £65 - £90 Per Hour
Job Description
This role is a perm role.
Clearance: SC
Location:UK (Hybrid) with travel to client sites 2 days p/w across Bristol, Portsmouth and Taunton
Key
- Defence experience desirable
- Sonar work and underwater mapping
- Hydrographic office experience would be interesting
- Oil & gas also another transferable industry due to work in seas
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).
- 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.
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).