Our client a leading cell captive insurance innovator is seeking an Executive: Data Management and Analytics to establish and lead their Data Centre of Excellence , shaping the organisations data governance, architecture, and analytics capabilities. Youll be at the helm of driving a data-first culture , and empowering actuarial, finance, risk, and compliance teams with trusted insights that inform strategic decisions. If you thrive at the intersection of data, technology, and business strategy , this is the kind of role that defines careers. Duties: Drive the implementation of the enterprise data and analytics strategy, ensuring measurable business value. Champion data governance, architecture, and data quality across the organisation. Lead cross-functional alignment on data standards, metadata, and KPIs to create enterprise-wide consistency. Build, coach, and inspire a high-performing data team to deliver excellence across business functions. Job Experience and Skills Required: Education: Bachelors Degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science, or a related field (Masters preferred). Experience: Minimum of 8 years experience in data, analytics, or technology roles (preferably in insurance, banking, or telecoms), with at least 3 years in a leadership capacity . Proven success in delivering enterprise-wide data and analytics projects . Skills: Strong proficiency in Azure Synapse, SQL, data integration, metadata and master data management . Deep knowledge of South African data governance and compliance. Other: Demonstrated success in bridging business and technology and driving adoption of enterprise data solutions.

This is your opportunity to build and lead an enterprise-wide Data Management & Analytics Centre of Excellence a powerhouse that will transform how insights are discovered, decisions are made, and value is created. The Opportunity: As the Executive: Data Management & Analytics , you will drive the organizations data and analytics strategy from the top ensuring that data becomes a trusted, strategic asset across all business functions. You will: Lead with vision Shape and execute a unified data and analytics strategy that delivers measurable business impact. Champion governance and compliance Enforce enterprise-wide data definitions, lifecycle management, and ethical data practices. Orchestrate innovation Integrate trusted datasets and analytics output directly into business processes for smarter, faster decisions. Partner with technology leaders Influence IT and infrastructure investments to build scalable, high-performing data ecosystems. Inspire excellence Lead, mentor, and grow a team of data professionals while embedding a culture of data-driven thinking across the organization. Who You Are: Youre a visionary data leader who understands both the strategic and technical heartbeat of modern data ecosystems. You combine the precision of a technologist with the foresight of an executive able to translate complex analytics into competitive advantage. You bring: A Bachelors Degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science or a related field (Masters preferred). 8 years of experience in data, analytics, or technology within financial services, insurance, or telecommunications with at least 3 years in a leadership role. A proven mastery in Azure Synapse, SQL, metadata management, and enterprise data integration. A strong understanding of South African data governance and compliance. A record of building teams, shaping strategy, and delivering enterprise-scale analytics solutions. What Youll Influence: Youll play a pivotal role in how the organization defines, governs, and leverages its most powerful asset data . Your leadership will directly enable smarter decisions, operational efficiency, and innovation across risk, finance, actuarial, and compliance domains. This is not just another executive role its an opportunity to build a legacy of data excellence in one of Africas most sophisticated and forward-thinking institutions. 📩 Apply now to shape the future of data-driven decision-making in South Africa.