Executive: Data Management and Analytics MMH250819-5

Executive: Data Management and Analytics MMH -5 Role Purpose To establish, lead, and continuously enhance the Data Management & Analytics Centre of Excellence, driving the development and execution of enterprise-wide data governance, management, and analytics strategies. Requirements Bachelor’s degree in data science, Statistics, Actuarial Science, Mathematics, Computer Science, or related field (Master’s preferred). At least 8+ years of experience in data, analytics, or technology roles within banking, telecommunications, or insurance. At least 3 years in a leadership capacity. Demonstrated success in bridging business and technology for enterprise-wide data delivery. Strong technical expertise in Azure Synapse, SQL, and data integration, Metadata and Master Data Management platforms. Proven track record in executing analytics use cases. In-depth knowledge of South African data governance and compliance. Duties and Responsibilities Strategic data leadership Lead the implementation of the enterprise data and analytics strategy aligned with business priorities, ensuring delivery of measurable business value. Champion data governance, management, and quality initiatives, ensuring compliance with South African regulatory requirements. Act as a liaison between business units and technology teams, translating business priorities into scalable, governed, and reusable data and analytics solutions. Foster and embed a data-driven culture throughout Guardrisk, driving consistent data practices across all business units. Data Management & Architecture Define and enforce standardised data input formats, source specifications, and data ingestion processes within the Guardrisk ecosystem. Maintain and enrich a comprehensive data catalog with clear metadata, lineage, and ownership for transparency and traceability. Align cross-functional units on common logic, definitions, joins, and KPIs to ensure enterprise-wide data consistency. Continuously monitor data quality metrics, driving remediation efforts and maintaining trust and compliance. Lead data governance bodies such as Data Council and Data SteerCos to oversee data governance frameworks. Use Case Execution For Support Functions Develop, operationalise, and oversee analytics use cases for support functions (Finance, Risk, HR, Compliance, Actuarial), particularly where dedicated data teams are absent. Integrate trusted datasets and analytics outputs into day-to-day business processes to enable informed decision-making. Enforce guardrails to ensure all analytics initiatives adhere to governance and compliance standards. Provide technical guidance to internal analytics teams, ensuring alignment with central data architecture and standards. Data Governance and compliance Drive enterprise-wide adoption of central data definitions and datasets, promoting reuse and knowledge sharing. Define and enforce data retention, archiving, and lifecycle management policies per regulatory requirements. Lead initiatives to enhance metadata management, lineage tracking, and data quality assurance. Serve as executive sponsor for data privacy and ethics programs, ensuring lawful and ethical data usage. Technology and IT Partnership Collaborate closely with IT leadership to design and maintain data pipelines, storage, and infrastructure that meet business needs. Influence IT investments, ensuring data architecture and toolsets are flexible, scalable, and compliant to effectively enable execution of the Data strategy across the enterprise. Build and maintain the data pipelines and infrastructure that allows for analytics use case execution. People Leadership Lead, coach, and develop a high-performing operations team to achieve strategic and operational objectives. Foster a culture of accountability, collaboration, and performance. Manage capacity, talent development, and succession planning within the operations function. Note: Verification of this job advert may be required on the company career page. #J-18808-Ljbffr