Hybrid Data Governance Lead: Quality Metadata Stewardship

Softcat

Marlow

Hybrid

GBP 28,000 - 68,000

Full time

10 days ago
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Job summary

Softcat is seeking a Data Governance Executive to join our Data Management team. You will help implement and operate our governance framework, maintain data definitions and quality rules, and promote best practices across the organisation.

This hybrid role offers three office days and two work-from-home days, with flexible hours to support school pickups. Based in the UK, you will collaborate with business and technical stakeholders to improve data literacy and data accuracy.

Qualifications

  • Strong understanding of data governance principles (quality, metadata, lineage, ownership).
  • Experience in data-focused roles (operational, analytical).
  • Excellent attention to detail and drive to improve data accuracy.

Responsibilities

  • Support the implementation and ongoing operation of the Data Governance framework.
  • Maintain governance documentation including data definitions, standards and quality rules.
  • Support rollout and adoption of data governance tools and platforms.
  • Monitor data quality and assist with issue investigation, root cause analysis and remediation; manage metadata, glossaries and data dictionaries.
  • Collaborate with business and technical stakeholders to promote governance best practice.
  • Support continuous improvement initiatives to enhance data quality and governance processes.

Skills

Data governance
Data quality
Stakeholder management
DAM A-DMBOK familiarity
Data modelling

Tools

Microsoft Purview

Job description

Softcat is seeking a Data Governance Executive to join our Data Management team. You will help implement and operate our governance framework, maintain data definitions and quality rules, and promote best practices across the organisation.

This hybrid role offers three office days and two work-from-home days, with flexible hours to support school pickups. Based in the UK, you will collaborate with business and technical stakeholders to improve data literacy and data accuracy.

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