Master Data & Data Quality Manager

KEY RESPONSIBILITIES:

1. Master Data Management (MDM)

• Execute the Enterprise Master Data strategy to ensure a single source of truth across all KCB Group technology and platforms.
• Ensure the creation, maintenance, matching, merging, syndication, and retirement of master data across systems, ensuring data consistency, integrity and effective management of hierarchies and relationships.
• Collaborate with the Metadata Manager to ensure master data entities map accurately to enterprise data catalogs and business glossaries.
• Ensure compliance with regulatory, business, and data governance requirements for master data.

1. Data Quality Management

• Lead the institutionalization of Data Quality frameworks, defining metrics, KPIs, and thresholds (accuracy, completeness, consistency).
• Deploy automated continuous profiling and monitoring tools to proactively catch and flag data defects.
• Liaise with the Data Governance Team to assign data stewards and establish data quality issue escalation paths.
• Conduct root-cause analysis on data anomalies and execute remediation strategies with technical and business owners.

1. Leadership & Cross-Functional Collaboration

• Lead, mentor, and grow a team of Data Quality Analysts and MDM specialists.
• Collaborate with IT, Data Engineering, and Analytics teams to implement robust, automated data cleansing and standardization processes.
• Embed a data quality mindset across bank business units.

MINIMUM POSITION QUALIFICATIONS

The preferred candidate will meet the following minimum criteria:

• Hold a Bachelor's Degree in Computer Science, Information Science, Data Science, Statistics or similar related field from a recognized university.
• Professional qualifications in data management or relevant quality management is an added advantage.
• At least five years' relevant working experience in data management in a similar sized organisation, including specific experience in the below areas:
  • Master data management, preferably in financial services sector.
  • Working with data quality frameworks and tools (e.g., Great Expectations, Deequ, Talend, Informatica, Collibra DQ, Ataccama).
  • MDM platforms and data warehouse environments
  • Working with python, SQL and data transformation tools
  • Stakeholder management of diverse calibre and multi-cultural environments
  • Core banking systems and/or CRM architectures will be an added advantage.
• Strong knowledge of metadata concepts: business/technical metadata, data lineage, ontologies, glossaries, and catalog best practices.
• Strong knowledge of data protection and data security protocols.
• Excellent verbal, written and presentation skills.