Data Quality Lead

3 weeks ago


London, Greater London, United Kingdom Kingfisher Full time

Job Overview

We are seeking a highly skilled Data Quality Lead to join our team at Kingfisher. As a Data Quality Lead, you will be responsible for establishing our data quality function and building a framework of technology solutions to identify, measure, categorise, prioritise and resolve data quality issues.

Key Responsibilities

  • Lead the creation of technology solutions to identify, measure, categorise, prioritise and investigate the root cause(s) of data quality issues.
  • Establish a best practice approach to proactively prevent data quality issues from occurring.
  • Take a lead in the implementation and configuration of Data Quality tools and processes, collaborating with your Data Management colleagues.
  • Raise the profile and importance of data quality management to both technical and non-technical colleagues by being a champion and advocate.
  • Manage the relationship with source system owners and subject matter experts to secure permanent resolutions to data quality issues.
  • Design & implement Data Quality measuring systems to improve the trapping and highlighting of issues that surface within Nucleus.
  • Collaborate with Data Design and Data Engineering colleagues on the setting the standards for the management of Data Quality issues throughout the complete delivery lifecycle and into production.

Requirements

  • Experience in a lead role within a data quality function.
  • Experience in the configuration and implementation of Data Quality tools.
  • Experience working in a large multi business unit organisation.
  • Strong stakeholder leadership skills.
  • Strong SQL skills to support data investigations and analysis and sophisticated critical thinking skills.
  • Excellent interpersonal and communication skills with the ability to articulate complex data concepts to help colleagues and business partners understand data quality issues.
  • Analytical and problem-solving approach with a logical thought process for the identification of root causes to data quality issues.

Nice to Have

  • Experience with Data Catalogue tools such as Collibra would be an advantage.
  • Appreciation of business processes in a Retail business.
  • Appreciation of Data Management, Governance and Quality best practice.
  • Appreciation of improvement methodologies such as Lean Six Sigma.

What We Offer

  • Competitive salary and benefits package.
  • Opportunities for career growth and development.
  • A dynamic and supportive work environment.

How to Apply

If you are a motivated and experienced Data Quality professional looking for a new challenge, please submit your application.



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