Data Governance & MDM Lead (Hybrid)

Intact Insurance; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Annual bonus

Pension contributions

Hybrid work model

Leave and holidays

Career development

Inclusive culture

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Job summary

Intact Insurance is recruiting a Data Management Lead to join our CIO team on a hybrid basis. You will establish data quality frameworks, ensure compliance with standards, and oversee metadata, lineage, and enterprise MDM/RDM strategy across core business domains.

You will collaborate with enterprise data architecture, data delivery, and business teams to embed robust data management across the data lifecycle while ensuring data security and regulatory adherence.

Qualifications

• Proven delivery experience to develop roadmaps and implementation plans.
• Expertise in data quality, metadata, lineage, MDM/RDM strategies, and regulatory compliance.
• Familiarity with data management platforms and cloud data platforms.
• Ability to collaborate with cross-functional teams and insurance domain knowledge.

Responsibilities

• Establish and manage data quality frameworks and processes.
• Ensure data management practices comply with regulatory standards.
• Capture and maintain metadata and data lineage for key data assets.
• Oversee enterprise MDM/RDM strategy implementation across domains.
• Collaborate with data architecture, delivery, and business teams.
• Work with IT and security to protect data.

Skills

Delivery experience

Data quality

Metadata & lineage

MDM/RDM strategies

Regulatory compliance

Cross-functional collaboration

Insurance domain knowledge

Tools

Purview

Collibra

Informatica

Azure

Job description

Intact Insurance is recruiting a Data Management Lead to join our CIO team on a hybrid basis. You will establish data quality frameworks, ensure compliance with standards, and oversee metadata, lineage, and enterprise MDM/RDM strategy across core business domains.

You will collaborate with enterprise data architecture, data delivery, and business teams to embed robust data management across the data lifecycle while ensuring data security and regulatory adherence.