Data Quality Manager-Data Governance

JR United Kingdom; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company in the credit insurance sector is seeking a results-driven Data Quality Manager to enhance data accuracy across business systems. The ideal candidate will possess extensive experience in data governance and a strong command of data quality tools, contributing significantly to the organization's data management strategies.

Qualifications

• 5+ years of experience in data quality, governance, or management roles.
• Strong knowledge of data quality dimensions and root cause analysis.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead data profiling, validation, and cleansing across multiple systems.
• Define and monitor data quality metrics for accuracy and completeness.
• Implement and manage data quality tools and governance model.

Skills

Data Quality

Data Governance

Data Management

Stakeholder Management

SQL

Data Profiling

Education

Bachelor’s or Master’s degree in Information Systems

Tools

Informatica

Talend

Ataccama

Snowflake

AWS

Azure

Job description

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Data Quality Manager-Data Governance, london

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Client:

Coface

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

About Us

Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.

With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.

As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.

Every day, our teams are making trade happen. Join us!

Job Description

We are looking for a results-driven Data Quality Manager to lead enterprise-wide efforts in ensuring the accuracy, completeness, consistency, and reliability of data across business systems. You will define and enforce data quality standards, lead data profiling and cleansing initiatives, and work closely with business and technical stakeholders to embed data quality into day-to-day operations and long-term strategy.

Qualifications

Key Responsibilities:

• Develop and implement a data quality strategy, framework, and governance model in collaboration with business and IT leaders.
• Define and monitor data quality metrics (accuracy, completeness, consistency, validity, timeliness, uniqueness).
• Lead data profiling, validation, and cleansing efforts across multiple systems and domains.
• Establish data quality rules, standards, and issue resolution processes.
• Manage the data quality lifecycle, including issue identification, root cause analysis, remediation, and prevention.
• Partner with data stewards, data owners, and other stakeholders to improve data quality across the enterprise.
• Implement and manage data quality tools and platforms (e.g., Informatica DQ, Talend, IBM InfoSphere, Ataccama).
• Collaborate with teams on data migration, integration, and analytics projects to ensure high-quality data flows.
• Provide regular reporting and dashboards on data quality trends and KPIs to business leadership.
• Support compliance efforts with internal policies and external regulations (e.g., GDPR, HIPAA, CCPA).

Qualifications:

• Bachelor’s or Master’s degree in Information Systems, Computer Science, Data Management, or a related field.
• 5+ years of experience in data quality, data governance, or data management roles.
• Strong knowledge of data quality dimensions, data profiling, and root cause analysis techniques.
• Proficiency in data quality tools (e.g., Informatica, Talend, Ataccama) and strong SQL skills.
• Experience with data governance frameworks and working in cross-functional teams.
• Excellent communication and stakeholder management skills.
• Familiarity with metadata management, master data management, and data privacy regulations.

Preferred:

• Experience in industries like banking, healthcare, insurance, or retail.
• Experience working with cloud data platforms (e.g., Snowflake, AWS, Azure).
• Data management certifications (e.g., DAMA, CDMP, Informatica Certified Professional) are a plus.