Data Governance & Compliance Lead in London

Data Governance & Compliance Lead in London

London Full-Time 60000 - 70000 £ / year (est.) No working from home possible
UNAVAILABLE

At a Glance

  • Tasks: Lead data quality control and develop scalable processes for accurate media data.
  • Company: Zenith International, part of the innovative Publicis Groupe.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a collaborative team focused on driving data excellence.
  • Why this job: Make a real impact on global data compliance and reporting in a dynamic environment.
  • Qualifications: Experience in data governance and strong analytical skills required.

The predicted salary is between 60000 - 70000 £ per year.

Zenith International, part of Publicis Groupe, is seeking a Data Compliance & Controls Lead in London (Hybrid) to ensure the quality, accuracy and reliability of paid media data across a global ecosystem.

You will lead data quality control, develop scalable processes, and partner with market teams to drive compliant, trusted reporting.

You’ll manage offshore delivery, oversee plan setups and data ingestion in Media Tools, and publish a Data Quality Scorecard to guide improvements across markets.

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Data Governance & Compliance Lead in London employer: UNAVAILABLE

As a leading innovator in the FMCG sector, we pride ourselves on fostering a dynamic work culture that encourages creativity and collaboration. Our Lowestoft location offers a vibrant community with access to professional development opportunities, ensuring that our employees can grow their skills while contributing to meaningful product advancements that resonate with consumers. Join us to be part of a team that values innovation and supports your career journey.

UNAVAILABLE

Contact Details:

UNAVAILABLE Recruitment Team

We think you need these skills to ace Data Governance & Compliance Lead in London

Communication Skills
Problem-Solving Skills
Automation
SQL
Data Governance
Attention to Detail
Data Engineering