MDM and Data Quality Specialist

• (Internal Title: Business System Configuration / Development III)
  • Reporting into the Master Data Management Lead the role forms part of the Integrated Program Delivery Team
  • The role is responsible for delivering, and where possible exceeding the client’s expectations aligned to the overall Digital Transformation strategic objective
  • The Master Data Management (MDM) & Data Quality Specialist will be responsible for developing and implementing data governance frameworks and policies to ensure the quality, consistency, and security of data across the organization
  • This role will be focused on data governance, cataloguing, and master data management while also working closely with the data science, data engineering, and data analytics teams to provide support on their initiatives
  • Develop and implement data governance policies, standards, and best practices to ensure data quality, consistency, and compliance
  • Support the implementation and management of a data cataloguing solution (e.g., Microsoft Purview) to enhance data discovery and governance
  • Define and maintain metadata management processes to improve data accessibility, lineage tracking, and business glossary development
  • Work with business users and technical teams to ensure data definitions and taxonomies are consistent across the organization
  • Support master data management (MDM) initiatives, ensuring clean, accurate, and standardized master data across systems
  • Collaborate with data stewards and other stakeholders to ensure data quality and consistency
  • Support data science, data engineering, and data analytics teams by providing governance expertise and ensuring data accessibility
  • Monitor and enforce data governance policies and compliance with requirements
  • Conduct data quality assessments and audits
  • Provide training and support to data users on data governance practices
  • Identify and mitigate data-related risks
  • Implement data quality checks and ensuring data consistency, accuracy, and compliance with requirements
  • Establish and maintain data standards and best practices

Working Conditions

• Hybrid