Data Quality Transformation Specialist

Role Overview

We are looking for seasoned professionals with 8 to 14 years of experience to lead initiatives that digitise and modernise the Data Quality (DQ) landscape. The focus is on minimizing manual processes by advancing metadata management practices and business terminology frameworks, collaborating closely with technical teams to improve existing DQ solutions.

Key Responsibilities

• Lead transformation efforts aimed at updating the current Data Quality system.
• Streamline DQ operations by automating and digitising manual activities.
• Oversee and refine metadata structures, including the business glossary and data definitions.
• Create, unify, and maintain business terms and data quality rules consistently.
• Partner with technology teams to support and enhance DQ tools like Rosetta and DQMA.
• Spot process improvement opportunities to boost efficiency.
• Implement best practices related to data governance and data quality management.
• Coordinate with business and technology stakeholders to ensure DQ projects align with organizational objectives.

Required Skills and Experience

• Between 8 and 14 years of experience in Data Quality, Data Governance, or related sectors.
• Deep understanding of metadata management and business glossary frameworks.
• Proficient with Data Quality platforms such as Rosetta, DQMA, or equivalents.
• Experience driving digitisation and transformation projects.
• Strong analytical capabilities and problem-solving skills.
• Effective collaboration skills with cross-functional teams across business and technology.
• Strong communication and stakeholder management expertise.

Preferred Qualifications

• Background in financial services or consulting fields.
• Knowledge of data governance frameworks and compliance regulations.
• Experience with automation tools or familiarity with data engineering concepts.