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Salary
≈ $68k – $155k per year (Estimated)
Location
In office (Horsham)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 10, 2026.

Overview
Company
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Profile match
Test Triangle is a Dublin-headquartered technology services company providing IT service management consulting as an Atlassian, ServiceNow and Freshworks partner, along with software testing, cloud, digital transformation and recruitment outsourcing services. Operating since 2012 from Blanchardstown Corporate Park, it serves organisations across Ireland, the UK and further afield and supplies contract and permanent specialists to client organisations such as UK banks. Its postings are mainly client placements for data analysts, DevOps and platform engineers, cyber security specialists, solution architects, project managers and mobile developers in Dublin, London and other cities.

Data Management Specialist - Insurance (Governance & Data Quality)

We are looking for a Data Management Specialist with strong Insurance domain expertise to support data governance, data quality, and data lifecycle management initiatives.

The role will focus on ensuring trusted, compliant, and well-governed data across insurance platforms, supporting key initiatives such as finance transformation, data retention, archival, and regulatory compliance.

The specialist will work closely with Data Architects, Engineering, and Business teams to ensure data is accurate, consistent, secure, and audit ready.

· Insurance domain mandatory (Policy / Claims / Finance data)

· Strong in data governance, quality, and reconciliation

· Experience in finance transformation / reporting programs

· Exposure to EDP / Databricks preferred

· Experience in retention, archival, and compliance (GDPR)

Key Responsibilities

Data Governance & Data Quality

· Finance Data Governance & Quality

· Define and implement data governance controls for finance transformation programs

· Establish and monitor:

o Data quality rules

o Reconciliation checks across policy, claims, and finance datasets

· Ensure accuracy, consistency, and completeness of financial data

· Support creation of a single source of truth for financial reporting

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