CALIO Consulting Group
Data Governance & AI Consultant
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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).
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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).
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location