Data Quality Manager-Data Governance

Coface Group; London; On-site; GBP 50,000 - 75,000; Full time

Job summary

Coface Group, a leader in credit insurance and risk management, is seeking a Data Quality Manager to enhance data accuracy and consistency across business systems. The role involves developing strategies, leading data governance initiatives, and collaborating with stakeholders to ensure high-quality data management practices. Ideal candidates will possess a degree in a related field and extensive experience in data quality and governance, with strong analytical skills.

Qualifications

• 5+ years of experience in data quality or governance roles.
• Strong knowledge of data quality dimensions and profiling techniques.
• Good working experience with data governance frameworks.

Responsibilities

• Develop and implement a data quality strategy and governance model.
• Define and monitor data quality metrics across business systems.
• Lead data profiling, validation, and cleansing efforts.

Skills

Data Quality Management

Data Governance

Analytical Skills

SQL

Stakeholder Management

Root Cause Analysis

Data Profiling

Education

Bachelor’s or Master’s degree in Information Systems, Computer Science or Data Management

Tools

Informatica

Talend

Ataccama

IBM InfoSphere

Job description

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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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst and Business Development

• Industries

  Information Services

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