Location: UK (Hybrid) with travel to client sites 2 days p/w across Bristol, Portsmouth and Taunton
Contract: Permanent, full-time
Security clearance: Minimum SC (active & lapsed would be ok)
Notice - ideally 1 month notice
Briefing notes:
- 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
Why this role matters
Our customer partners with UK Central Government and Defence to deliver trusted, value-driven data and AI outcomes. We're recruiting a Senior Data & AI Governance Consultant to help clients build robust data governance foundations and adopt responsible, well-assured AI. You'll work under broad direction to deliver engagements, advise on good practice, and create practical artefacts-policies, standards, operating models, and evaluation frameworks-that measurably improve data quality, model reliability, risk posture, and compliance.
What you'll do
Delivery & client engagement (SFIA L4 - Enable)
- Deliver data governance workstreams: policies & standards, roles & RACI, stewardship models, data issue management, and data quality measurement & remediation.
- Design and implement metadata & cataloguing (business glossary, lineage capture, classification & sensitivity labels) using client-standard platforms.
- Contribute to AI assurance across the lifecycle:
- Training data readiness (provenance, quality, representativeness, bias checks, privacy & IP considerations, synthetic data controls).
- Model selection support (fit-for-purpose criteria, interpretability needs, security constraints, compute/cost trade-offs).
- Test & evaluation (appropriate metrics and acceptance thresholds; robustness, fairness, privacy, and safety testing; secure red-teaming where applicable).
- Operational governance (monitoring KPIs, drift detection, incident response, change control, and regular re-evaluation & re-training with realistic datasets).
- Author clear artefacts: governance frameworks, operating procedures, evaluation plans, model cards/datasheets, risk assessments, and assurance reports.
- Run workshops and interviews with stakeholders, capturing requirements and converting them into actionable designs and backlogs.
- Support benefits tracking (e.g., DQ uplift, lineage coverage, model performance stability, incident reduction).
Methods, tools & assurance
- Apply and tailor customer playbooks for data governance and AI assurance (policy templates, DQ standards, risk & control libraries, evaluation checklists).
- Configure/enable client tools (e.g., Microsoft Purview for governance/lineage/labels; Azure ML / Databricks / Fabric for MLOps, model registry, monitoring; Power BI governance).
- Contribute to assurance reviews and quality gates; maintain well-structured evidence for audits and approvals.
Consulting & collaboration
- Work in multi-disciplinary teams with data architects, platform engineers, and security colleagues; manage day-to-day stakeholder communications.
- Contribute to proposals and estimates; create slideware and demos for pre-sales and discovery.
- Coach junior consultants; share knowledge through internal communities of practice.
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.
- Minimum SC clearance (active) and willingness to travel to UK client sites.
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).
#J-18808-Ljbffr
