National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Quality Manager-Data Governance

ZipRecruiter
London
1 week ago
Create job alert

Job Description
About Us
Coface is a team of 4,500 people of 78 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 .
:
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.

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Quality Manager

Data Quality Manager

[Urgent] Data Quality Manager...

Analytics Governance Manager, Data Governance Manager, Data Management Lead, Data Quality Manager, EUC Governance Manager, Data Analytics Manager, Data Compliance Manager

Band 4 Data Quality Officer

MIS & Funding Manager

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.