Senior Data Steward

2 weeks ago

Cape Town, Western Cape, South Africa Old Mutual Full time

Description

An opportunity has arisen for a Senior Data Steward reporting to the Manager of Business Process and Data Management in our Personal Finance business. This role drives data quality and adherence to data governance requirements on a day-to-day basis. The data steward's role incorporates processes, policies, and guidelines for administering OML's data in compliance with policy and/or regulatory obligations, ensuring high data quality. The data steward reviews and, if necessary, enhances the information provided for the creation or maintenance of data. Data stewards must attend the Data Stewards Forum (DSF) and actively participate. S/he drives the improvement of data governance, management and security maturity levels within OML to support reliable decision making, appropriate data usage and protection thereof.

Key focus of the role:

Embed good data practice within business units and functions, and champion a data and customer focused culture within OML. Establish process, procedure for data management and information governance. Adhere to regulation and policy. Participate and contribute to the DSF and own data outcomes per Business Unit/Domain. Ensure decisions made in the Data Governance Board (DGB) are implemented in their business units/domains. Confirm that business unit/domain concerns regarding data are brought to the DGB and satisfactorily resolved. Drive data maturity improvements in OML. Establish and lead the segment Data Management forum. Lead the development and execution of the Data Strategy in Personal Finance. Promote ethical data handling practices.

Operational Oversight

Oversees the life cycle of assigned data domain, while maintaining overall perspective of the integration and impact of data with other data domains. Explores the nexus across Data Architecture and other respective architectural disciplines in the business to discover opportunities for improvement or expose gaps and risks. Define and implement policies and procedures for the day-to-day operational and administrative management of systems and data — including the intake, storage, processing, and transmission of data to internal and external systems. Accountable to define and document data and terminology in a relevant glossary, ensuring that each critical data element has a clear definition and is still in use. Communicates information management and governance standards to all relevant stakeholders, and confirms their implementation within assigned domains, projects and/or business units. Works with the relevant teams to establish procedures for detection and correction of data-quality issues and collaborate to establish standards, guidelines, processes, procedures and internal controls for the quality of critical data elements within OML. Engages in the ongoing and detailed evaluation of data quality, the identification of anomalies and discrepancies, and the contribution of expertise to understand the root cause and implement corrective measures from a people, process and system perspective. Ensures and tracks that all activities in their business unit/domain happen as per design – in line with agreed data management and governance standards and principles, including data quality, master & reference data, metadata, and data security. Facilitates and documents the definition of consistent business and data rules aligned to defined standards. Ensures the implementation of defined standards through embedding in existing / new business processes. Executes consistent monitoring and reporting of adherence to defined standards. Highlights any existing gaps between the defined application of business rules and current state and facilitates the process of closing identified gaps with the respective domains, projects and/or business units. Collaborates with the broader data stewardship community to ensure that new rules and standards are consistently applied to enterprise data. Performs testing to verify validity, quality and appropriateness of third-party acquired data.

Risk Reporting Management:

Ensures the enforcement of the privacy and security rules pertaining to data. Drives adherence to regulatory compliance data requirements. Identifies and reports on data risks as they occur in the enterprise. Ensures that data risk reporting and escalation processes are followed. Monitors risks pertaining to data exposure and highlights required remedial action.

Policies and Procedures:

Defines procedures for access to data, including the criteria for authorization based on role and/or the individual, in line with defined relevant policies and standards. Compiles retention, archival, and disposal requirements and ensuring compliance with institutional policy and regulations. Works closely with data owners and data custodians to establish controls. Evaluates any suspected or actual breaches or vulnerabilities in defined controls and report them for continuous improvement initiatives.

Stakeholder Management:

Establishes and maintains strategic relationships with business and corporate stakeholders and ensures that stakeholders are consulted and kept informed of issues and advances in data management practice in OML. Participates and provides input to the DSF.

Qualifications and experience:
Role Requirements

Matric with a relevant Tertiary qualification is required e.g. Information Studies and IT Management At least 5 years in data practice and/or analysis. Relevant data management certification. Minimum of 8 years demonstrated, relevant experience in the insurance or financial services industry, preferably in a data-intensive function or role, added advantage. A post graduate qualification is advantageous. Knowledge of data modelling, data integration and data configuration is advantageous.

Competencies

Strategic Collaboration (Relating) Customer First Execution Innovation (Perspective) Leading with Influence Personal Mastery (Learning)

Skills

Education

Closing Date

14 June 2024

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