Pretoria: Head of Predictive Insights & Client Intelligence

Join an insights‑driven organisation that is reshaping how businesses engage with data, products, and intelligence. In this role, you will lead the evolution of Client Partners into future‑ready advisors who combine human expertise with AI‑powered storytelling. You will partner closely with Data Science and Product leaders to drive product‑led growth across sectors such as telcoms, banking, retail, and social impact. Why Join?: Lead transformation at the intersection of insights, AI, data science, and strategy Influence product-led growth across industry‑defining benchmarks Work directly with senior executives in a fast‑growing, impact‑driven environment Whats in it for you? The opportunity to architect the future of insights advisory in Africa shaping talent, advanced products, and predictive value creation across a rapidly evolving data ecosystem. Key Responsibilities: Lead the evolution of Client Partners into AI‑enabled strategic advisors through structured 120‑day capability roadmaps Orchestrate collaboration with Data Sciences to embed predictive models into client journeys and ROI‑driven storytelling Drive C‑suite engagement, enhancing retention and expansion through continuous insight and sentiment monitoring Align cross‑functional roadmaps with Product and Data Science teams, converting multi‑source insights into compelling content Establish KPIs, governance, and agile feedback loops to enable a high‑performing human‑AI hybrid advisory capability Job Experience and Skills Required: Education: MBA or BSc in Business, Marketing, Insights, or a related field Certifications in AI strategy , prompt engineering , or data storytelling are advantageous Experience: 12 years in insights, consulting, strategy, or CX 5 years in leadership roles driving product‑led research and advisory Proven success in African markets and AI‑driven transformation Strong track record of C‑suite engagement and revenue growth Skills: Hybrid leadership with the ability to coach teams in AI literacy, storytelling, and CRM orchestration Experience working within matrix structures alongside Data Science and Tech teams Deep understanding of ESOMAR ethics, predictive advisory techniques, and insight commercialisation Non‑Negotiables: Passion for transforming traditional research into tech‑enhanced strategic value Ability to merge human intelligence with AI‑powered outputs to influence executive decision‑making Apply now! For more exciting Finance vacancies, please visit: