Data Governance Specialist - Financial Services - AI Exposure
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Summary
A data governance specialist role at a financial services client: developing governance programs, policies, metadata/classification, data quality and governance tooling (catalogues, lineage, access management), plus using SQL and Python for data profiling and automation. Requires 3+ years in data governance or data management.
- Support the development and execution of data governance programs, policies, and standards.
- Assist in improving data management processes, controls, and governance practices across business functions.
- Drive initiatives related to data classification, tagging, metadata management, and information organization.
- Support the implementation and optimization of data governance tools, including data catalogues, lineage, access management, and data quality solutions.
- Collaborate with business and technology teams to promote governance adoption and best practices.
- Contribute to data privacy, data protection, and information security initiatives.
- Assist in taxonomy management and information modelling to improve data discovery and usability.
- Monitor governance effectiveness and identify opportunities for continuous improvement.
- Support training, communication, and change management activities related to data governance.
Requirements
- Minimum 3 years of experience in Data Governance, Data Management, or related disciplines.
- Experience within banking, financial services, technology, or other regulated industries is preferred.
- Strong understanding of metadata management, data quality, data classification, access controls, and data protection principles.
- Hands-on experience with data governance platforms, data catalogues, lineage tools, or data quality solutions.
- Knowledge of governance frameworks supporting AI, analytics, and digital transformation initiatives is advantageous.
- Exposure to taxonomy management, ontology frameworks, and information architecture concepts is a plus.
- Strong stakeholder management, communication, and coordination skills.
- Analytical mindset with strong problem-solving capabilities.
Technical Skills
- Proficiency in SQL for data extraction, analysis, profiling, and transformation.
- Working knowledge of Python for data processing, automation, and scripting.
- Experience developing automated workflows or scripts to support governance processes.
- Familiarity with API integration and RESTful services.
Please note that only short-listed candidates will be notified. All information gathered will be treated in strict confidence and solely used for recruitment purposes