Job Title: Data Analyst (Governance)
Location: London/Hybrid (Typically 2/3 days in the office)
Type: Full time – 12 Months Fixed Term
What You Will Do
Provide flexible, multi‑disciplinary analytical support across traditional data quality management, metadata and taxonomy development, and emerging AI monitoring capabilities. The role ensures high‑quality, well‑governed structured and unstructured data and contributes to safe, transparent, and reliable AI system operation across the organisation.
The assignment will extend to focus on analytical support across emergent data and AI governance frameworks, ensuring actionable control and monitoring that targets high quality data and safe, compliant AI use. Operating within the controls defined by the Ardonagh Specialty AI Policy and AI Control Tiering Governance, Data Risk Policy and underlying standards, the role delivers data quality assessment, metadata and taxonomy development to support information governance, and AI monitoring activities such as bias detection, drift analysis, and model validation. The analyst supports AI Risk Assessments, documentation, and oversight to ensure systems remain transparent, fair, and within approved purpose across UK GDPR, FCA, ICO, and (where relevant) EU AI Act obligations.
Key Responsibilities
- Design, implement and maintain data quality rules, profiling routines, and dashboards using enterprise tooling.
- Support development of metadata standards, classification models, taxonomies, and labelling structures across domains.
- Build and operate AI monitoring controls, including bias detection, drift analysis, performance tracking, and model validation (e.g., hold‑out, cross‑validation).
- Analyse information and data assets to surface insights, trends, anomalies, and emerging risks across business processes.
- Document processes, lineage, rules, and control frameworks to ensure transparency and auditability.
- Collaborate with Digital, DPO, Risk & Compliance, and business stakeholders to ensure data is governed, protected, and fit for purpose.
- Support generalist analytical tasks, including reporting, root‑cause analysis, and ad‑hoc investigations.
- Contribute to continuous improvement of data and AI governance standards, tooling, and processes.
What You Will Bring
- Proven experience as a Data Analyst, ideally spanning data quality, metadata management, and general analytics.
- Experience using data quality tooling (e.g., rule engines, profiling tools) and working with structured/unstructured datasets.
- Strong understanding of metadata concepts such as classification, lineage, taxonomies, and ontology modelling.
- Exposure to AI/ML concepts including model monitoring, fairness/bias techniques, drift detection, hold‑out testing, cross‑validation, and performance measurement.
- Strong SQL/Python skills for data analysis and control development.
- Experience in regulated environments (financial services, insurance, or similar) is beneficial.
- Familiarity with GDPR, data protection obligations, and responsible AI principles.
Benefits
- Employer pension contribution of 10% (providing you, the Employee provides 5%).
- Good work life balance – flexibility to suit you.
- Competitive salary.
- Life Assurance at X4 of your base salary.
- Group Income Protection.
- Generous Annual Leave entitlement.
- Private Medical Insurance.
- Group annual bonus scheme.
We truly value the diversity of our teams and are committed to supporting and welcoming individuals from all backgrounds. Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know.
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