Data Governance Lead: Build Trusted Data Foundations

Data Governance Lead: Build Trusted Data Foundations

Full-Time 56700 - 69300 Β£ / year (est.) No working from home possible
IG Index Limited

At a Glance

  • Tasks: Lead data governance initiatives and ensure data quality across the organisation.
  • Company: Join IG Group, a leader in financial services with a focus on innovation.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on continuous improvement and learning.
  • Why this job: Shape the future of data governance and make a real impact in a dynamic environment.
  • Qualifications: Experience in data governance and strong leadership skills required.

The predicted salary is between 56700 - 69300 Β£ per year.

IG Group is seeking a Data Governance Lead to scale the governance framework across the organisation, defining standards and embedding ownership.

You will turn policy into practice and ensure data across the business is fit for purpose.

You'll work with Risk, Data Engineering, Compliance and Product to balance governance with speed, lead a data governance council, and drive data quality improvements, literacy, and responsible data practices.

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Data Governance Lead: Build Trusted Data Foundations employer: IG Index Limited

At IG Group, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation thrives. As a Junior Dealer in Futures & FX, you'll benefit from extensive learning opportunities and a supportive culture that encourages collaboration across departments. With our hybrid working model and a focus on employee well-being, you can expect a fulfilling career path in the fast-paced world of fintech.

IG Index Limited

Contact Details:

IG Index Limited Recruitment Team

We think you need these skills to ace Data Governance Lead: Build Trusted Data Foundations

Communication Skills
SQL
Problem-Solving Skills
API Integration
Data Governance
Automation
Data Engineering