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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Management Analyst - AI Governance (12 Month FTC) - **Company:** Ardonagh Specialty - **Location:** London, UK - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Profiling, Data Governance, Monitoring of Systems, Python (Programming Language), Machine Learning, Metadata, Meta-Data Management, Metadata Standards, Standard Sql, Unstructured Data, Model Validation, Data Management - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815450153-data-management-analyst--ai-governance-12-month-ftc ## About the Role * 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. Person Specification The role requires an analytically minded and adaptable individual who is comfortable working across multiple concurrent workstreams 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. ## Description 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. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Rethinking Recruiting: What you didn’t know about Responsible AI](https://www.wearedevelopers.com/videos/1090-rethinking-recruiting-what-you-didn-t-know-about-responsible-ai) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Should AI be Regulated? 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