Data Governance Specialist - Drive Quality & Compliance

Data Governance Specialist - Drive Quality & Compliance

Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Howden Insurance Local UK

At a Glance

  • Tasks: Drive data governance initiatives and support business stakeholders with compliance.
  • Company: Howden Group Services, a leader in governance excellence.
  • Benefits: Flexible remote working, competitive salary, and career development opportunities.
  • Other info: Join a culture of excellence with opportunities for growth.
  • Why this job: Make a real impact on data quality and compliance in a dynamic environment.
  • Qualifications: Experience in data governance and strong collaboration skills.

The predicted salary is between 50000 - 65000 Β£ per year.

Howden Group Services is seeking a Data Governance Analyst to drive our governance initiatives.

Based at the London City office with flexible remote working, you will support embedding a culture of excellence and deliver governance services to business stakeholders and projects.

You will partner with Data Champions and Owners, maintain governance assets, contribute to roadmaps, and help develop training materials.

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Data Governance Specialist - Drive Quality & Compliance employer: Howden Insurance Local UK

Howden Group Services is an excellent employer that fosters a culture of excellence and collaboration, particularly in our London City office. With flexible remote working options, we prioritise employee well-being while offering robust growth opportunities through partnerships with Data Champions and Owners. Join us to be part of a dynamic team dedicated to driving quality and compliance in data governance, where your contributions will be valued and impactful.

Howden Insurance Local UK

Contact Details:

Howden Insurance Local UK Recruitment Team

We think you need these skills to ace Data Governance Specialist - Drive Quality & Compliance

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