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  • Posted: Nov 19, 2025
    Deadline: Not specified
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  • Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
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    Head of Procurement Intelligence

    Key Purpose

    • To develop unique, data-driven solutions to problems faced within the operational processes for Insure. This includes optimizing and generating efficiencies in claims, sales and servicing processes using statistical, actuarial and data science techniques. This role offers the opportunity to apply machine learning and generative AI to solve a large variety of business problems practically. This role specifically focuses on optimizing processes that involve external suppliers (procurement) but is not limited to this. A core focus would be to develop, implement and drive strategic procurement initiatives.

    Areas of responsibility may include but are not limited to

    • Develop supplier scoring and evaluation algorithms that align supplier and business objectives
    • Develop incentive models and strategies for suppliers
    • Optimize and automate supplier appointments and allocation for all claim types as services.
    • Using generative AI to optimize business and procurement processes.
    • Advanced Procurement (supplier) analytics
    • Develop procurement fraud and audit models

    Knowledge and Skills

    • Statistical and analytical skills (Advanced)
    • Programming Skills: SQL, Python, Radar (Intermediate)
    • Microsoft Office (Excel, PowerPoint and Word) (Advanced)
    • Strategic thinking
    • Problem-solving skills
    • Management skills
    • Experience using generative AI (beginner)
    • Modelling skills (Advanced)

    Education and Experience

    Education:

    • Matric (Essential)
    • Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Strong mathematical/economics candidate (Essential)
    • Qualified actuary - if from an actuarial background
    • Fellow of the Actuarial Society of South Africa (FASSA) or Associate Member of the Actuarial Society of South Africa (AMASSA) – (Advantageous)

     Minimum Experience:              

    • 6+ years of experience in management and strategic data science/ actuarial roles
    • At least 3 years specific short term insurance experience

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    Method of Application

    Interested and qualified? Go to Discovery Limited on careers.discovery.co.za to apply

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