Data Management Analyst – AI Governance; FTC

Job Title

Data Management Analyst – AI Governance (12 Month FTC)

London/Hybrid (Typically 2/3 days in the office)

Full time - Fixed Term 12 Months (If you are a job share partnership, work reduced hours, or any other way of working flexibly, please do still get in touch)

• 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.

To 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.

• 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) in the context of check the checker.
• 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.

• 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.

The role requires an analytically minded and adaptable individual who is comfortable working across multiple concurrent work streams spanning both information and data governance, quality, metadata, taxonomy development, and AI monitoring. They must bring strong attention to detail, intellectual curiosity, and the ability to translate complex technical concepts into clear, business‑focused insights. The ideal candidate is structured, well‑organised, and capable of operating with limited oversight while engaging confidently with stakeholders across Digital, Risk & Compliance, the DPO, and business functions.

They will demonstrate a proactive learning mindset, particularly in emerging AI governance and data management practices, and show a commitment to accuracy, transparency, and continuous improvement. The individual will combine strong communication skills with a collaborative approach, ensuring that data and AI controls are understood, implemented, and embedded effectively across the organisation.

We are an equal opportunities Employer, dedicated to creating a diverse, inclusive, and authentic workplace where everyone can thrive, bring their whole self to work, and reach their full potential. If you’re excited about this role, but your experience doesn’t perfectly match what we are looking for, please apply anyway. You might just be the right fit for the job, or other opportunities we may have within the wider Group.