Data Governance & AI Consultant

ComXps; West of England; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

ComXps is seeking a data governance and AI assurance professional for a permanent, UK-hybrid role with SC clearance and travel to client sites in Bristol, Portsmouth and Taunton. The candidate will lead governance frameworks, data quality programs and privacy controls while collaborating with defence and regulated sectors.

Strong consulting and stakeholder engagement skills are essential. Experience with metadata management, data catalogs, and MLOps risk awareness will be highly valued, as will

Qualifications

• Proven experience in data governance delivery including policy & standards, stewardship models, RACI and decision forums.
• Strong data quality focus: dimensions, rules, scorecards, monitoring and remediation.
• Expertise in metadata & catalogue adoption, glossary, lineage, classification & sensitivity.
• Privacy and protection in data handling (DPIAs, retention, access control, auditability).
• Practical understanding of AI assurance: training data provenance, quality, bias mitigation; model selection considerations; testing and evaluation; risk/damage controls.

Skills

Data governance

Policy & standards

RACI & decision forums

Data quality & metrics

Privacy & protection

AI assurance

Training data & provenance

Model risk & evaluation

Drift detection & monitoring

Consulting & stakeholder comms

Tools

Microsoft Purview

Azure ML

Databricks/MLflow

Azure Fabric

Power BI governance

Collibra

Alation

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).