
Enable job alerts via email!
A leading insurance company in Gauteng is seeking a strategic data leader to enhance their Data Management & Analytics Centre. The role involves implementing data governance and analytics strategies, ensuring compliance, and leading a high-performing team. Candidates should have over 8 years of experience in data roles and a solid background in leadership within banking or insurance sectors.
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.
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.
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.
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.
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.