Data Governance & AI Consultant

COMXPS LTD

Taunton, UK

14 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Job source

www.collegerecruiter.com

Tech stack

Training Data Artificial Intelligence Microsoft Azure Data Governance Metadata Microsoft Office Power BI Red Team (Cyber Security) Azure Machine Learning Secure Coding SONAR (Symantec) Data Logging

+6 more

Data Processing Model Validation Microsoft Fabric Collibra Machine Learning Operations Databricks

Requirements

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, * 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).