Key Role Accountabilities

• 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.

Qualifications & Experience

• 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.

Think you don’t meet every requirement?

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.

Interview Process

At Ardonagh Specialty, we have a straightforward interview process to ensure the best fit for both you and the company:

1. Submit your application with your CV, emphasising your skills and experience related to the job.
2. Our Talent Acquisition team will then arrange a call where they can tell you more about the role and the team. We want to learn about your motivation and goals, what you can bring to Ardonagh Specialty, and answer any immediate questions.
3. If successful, you will generally be invited to engage in a 1-hour interview with the Hiring Manager and selected team members, via teams or in person. We will discuss our technologies, key skills, and team dynamics and provide further opportunity to ask any questions. This is your chance to voice your thoughts on the role and we will outline our expectations and ensure this role aligns with your ambitions for the future.
4. Depending on the role, you may be invited to attend a second stage interview with further members of the team.

If successful or unsuccessful, we always try and move quickly in presenting an offer or providing feedback.

We truly value the diversity of our teams and as a Group, we are committed to supporting and welcoming individuals from all backgrounds, as we appreciate every perspective is a significant part of our success. Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know.

#AS

If your application is successful, we will conduct relevant employment checks prior to you commencing employment with us. These will include verifying your recent employment, address, credit history, and a standard criminal record check.

Note To Recruiters And Employment Agencies

We will not pay for unsolicited CV's from recruiters and employment agencies unless we have a signed agreement and have requested assistance, in writing, for a specific vacancy.