OM Bank - Technical Data Governance Analyst at Old Mutual

KEY RESULT AREAS

Technical Delivery:

• Collaborate with technical teams such as platform, security and operational teams to ensure alignment of data governance standards.
• Administrate and manage the Data Governance Tools for metadata management, data quality management and data classification.
• Manage partner relationships for data governance tools to ensure the bank is abreast of all new features or amendments within the tools.
• Setup, manage and maintain all workflows required for the tools to operate efficiently, i.e. connectors, API’s etc.
• Manage GitHub repositories related to Data Governance and ensure appropriate promotion strategies are in place.
• Ensure all Pre-production and Production environments are aligned with data governance enrichment within the tools.
• Ensure the tooling remains up to date and relevant to any new standards introduced or enhancements to existing standards.
• Maintain documentation to support the use of the tools and their features as well as best practices to ensure governance of data within the tools.
• Monitor and resolve data governance-related issues.
• Provide training and support to end-users on data governance procedures and tools.
• Ensure compliance with data privacy regulations, such as POPIA, GDPR and CCPA etc.
• Review, analyse and continuously improve data governance standards and procedures in line with the tool’s technical capabilities.
• Participate in data governance-related meetings and working groups.

Metadata Management

• Setup, manage and maintain the Data Catalogue tool’s backend configurations.
• Establish structures and custom attributes to enable data stewards in maintaining data dictionaries and data lineage documentation.
• Setup and maintain playbooks and workflows as new data assets and domains are introduced.
• Support the data stewards to automate any manual metadata enrichment.

Data Quality Management

• Conduct data quality assessments and implement data quality improvements.
• Assist business with identifying data quality requirements and implement monitoring and remediation processes.
• Ability to identify and interpret trends in data to support and improve overall data quality.
• Support data stewards with creating and promoting monitors across environments.
• Monitor data quality alerts and support the data stewards to resolve any incidents to completion.

Data Classification and Tagging

• Oversee data asset tagging process in line with the data classifications defined by the data stewards.
• Support with ensuring that the appropriate tags are reflecting in the data catalogue tool across the various environments.
• Ensure that roles are defined in line with the data security policy to limit the exposure of PII using the applied tags.

ROLE REQUIREMENTS

Experience:

• Understanding of data management and data analysis.
• Proficiency in using metadata catalogues and data quality tools.
• Strong knowledge of data modelling and database technologies.
• Strong skills in data governance, data integration, and data mapping.
• Strong engineering and technical skills to manage repositories and configurations.
• Responsible for regular communication with Partners.
• Ensure adherence to an enterprise data governance framework for data practices, policies, and standards both at a technical and functional level.
• Ensure effective internal controls by monitoring metrics and driving performance through improvement initiatives.
• Champion enterprise data governance and data initiatives.
• Deliver on data governance strategy and overall objectives.
• Ensure data governance initiatives result in enterprise and functional benefits.
• Facilitate the development and implementation of data standards and adoption requirements.
• Strong project management, risk management and data governance skills.

Qualifications:

• Bachelor’s Degree in Computer Science, Information Systems or similar fields like Big Data, etc.
• A minimum of 4 - 6 years of technical or data governance experience.
• Related Data Governance certification(s) would be advantageous.
• Ability to operationalize data governance and data quality across the enterprise.
• Experience in implementing data management and governance roles, principles, processes and procedures.
• Implementation of enterprise level data quality, master data management and related metrics.
• Strong analytical and critical thinking skills.

Skills

• Business Requirements Analysis
• Confidentiality
• Current State Assessment
• Database Administration
• Database Queries
• Database Reporting
• Data Classification
• Data Compilation
• Data Compression
• Data Controls
• Data Encoding
• Data Modeling
• Executing Plans
• Gateway Servers
• IT Architecture

Competencies

• Action Oriented
• Builds Effective Teams
• Communicates Effectively
• Cultivates Innovation
• Ensures Accountability
• Manages Complexity
• Optimizes Work Processes
• Persuades

Education

• Bachelors Degree (B)

Closing Date

• 10 June 2025 , 23:59