Data Management Specialist

Data Management Specialist – (Azure Data Platform)

Location: London, UK (Hybrid)

Contract Type: Contract

⏳ Duration: Initial 6–12 Months (Extension Possible)

Role Overview

We are seeking an experienced Data Management Specialist with strong expertise in the Insurance domain and exposure to the Microsoft Azure Data Platform . This role will focus on ensuring high-quality, governed, secure, and compliant data across enterprise systems, supporting business operations, analytics, and regulatory reporting initiatives.

The ideal candidate will have hands-on experience in data governance, data quality, data stewardship, master data management, and insurance data domains , alongside the ability to collaborate effectively with business and technology stakeholders.

Key Responsibilities

Data Governance & Data Quality

• Implement and maintain enterprise data governance frameworks, standards, and policies.
• Ensure data accuracy, consistency, completeness, and integrity across business systems.
• Define, monitor, and report on data quality KPIs and metrics.
• Manage data lineage, metadata, and data cataloging processes.
• Drive adherence to enterprise data standards and governance controls.

Data Management & Stewardship

• Act as Data Steward for key Insurance data domains including Policy, Claims, Customer, Billing, and Finance.
• Maintain business glossaries, data definitions, and ownership models.
• Support Master Data Management (MDM) initiatives and best practices.
• Investigate and resolve data quality issues and inconsistencies.
• Support data cleansing, migration, and transformation activities.

Azure Data Platform Support

• Work closely with Data Engineering teams supporting:
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Monitor and validate data ingestion, transformation, and integration processes.
• Support data governance and security controls within Azure environments.
• Assist with cloud data platform modernization initiatives.

Regulatory & Compliance

• Ensure compliance with insurance regulations and reporting requirements including:
• IFRS 17
• Solvency II
• GDPR
• Support audit activities and regulatory reporting processes.
• Maintain governance documentation, controls, and compliance evidence.
• Ensure trusted and auditable data is available for reporting purposes.

Stakeholder Collaboration

• Partner with business teams across Underwriting, Claims, Finance, Actuarial, and Operations.
• Collaborate with Data Architects, Engineers, Analysts, and Reporting teams.
• Promote best practices in data governance and stewardship.
• Gather and translate business data requirements into governance solutions.

Continuous Improvement

• Identify and address data governance and quality gaps.
• Drive improvements in data management processes and controls.
• Support enterprise data transformation and modernization programmes.
• Contribute to improving overall data governance maturity.

Required Skills & Experience

Essential

• 6–10+ years of experience in Data Management, Data Governance, Data Quality, or Data Stewardship roles.
• Strong experience within the Insurance industry (Life, P&C, or Reinsurance).
• Knowledge of:
• Data Governance Frameworks
• Data Quality Management
• Master Data Management (MDM)
• Data Lineage & Metadata Management
• Working knowledge of:
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Strong SQL and data validation skills.
• Experience with data profiling, cleansing, and reconciliation activities.

Insurance Domain Knowledge

• Policy Lifecycle Management
• Claims Processing
• Underwriting Workflows
• Insurance Reporting & Regulatory Requirements
• Core Insurance Data Entities:
• Policy
• Claims
• Customer
• Billing
• Finance

Preferred

• Experience with Collibra, Informatica, or Microsoft Purview.
• Azure certifications (Fundamentals or Data-related).
• Knowledge of data privacy and security frameworks.
• Experience supporting analytics and reporting teams.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Strong stakeholder engagement and communication skills.
• Data ownership and governance mindset.
• Ability to drive standards, controls, and best practices across teams.

Success Measures

• Improved data quality, consistency, and reliability.
• Increased adoption of data governance practices.
• Reduction in data-related incidents and resolution times.
• High-quality data supporting business and regulatory reporting requirements.