Data Quality & Compliance Lead in London

Data Quality & Compliance Lead in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Publicis Groupe

At a Glance

  • Tasks: Lead data quality initiatives and ensure compliance across global media data.
  • Company: Zenith International, part of Publicis Groupe, known for innovation and collaboration.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on continuous improvement and data excellence.
  • Why this job: Make a real impact by enhancing data quality and driving informed decision-making.
  • Qualifications: Experience in data management and strong analytical skills.

The predicted salary is between 60000 - 80000 £ per year.

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

You will lead a high‑impact function linking data, technology and people to help teams make informed decisions.

You will collaborate with market teams, analysts and stakeholders to create scalable processes, drive continuous improvement and foster a culture of data excellence.

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Data Quality & Compliance Lead in London employer: Publicis Groupe

Publicis Groupe is an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of Greater London. With a strong focus on employee growth, we provide comprehensive benefits such as Pension, Life Assurance, and Private Medical cover, ensuring our team feels valued and supported. Join us to lead innovative strategies for renowned brands like Disney, while enjoying a workplace that champions inclusivity and professional development.

Publicis Groupe

Contact Details:

Publicis Groupe Recruitment Team

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

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