Where Are Australia's Data Science Leaders? The Case for Technical Career Pathways
A Dialogue Paper examining why Australian companies must urgently create leadership pathways for tech professionals.

Australian companies risk falling behind global competitors in harnessing the benefits of AI unless they establish clear leadership pathways for employees with deep technical skills. Without these routes to senior leadership roles, critical boardroom decisions lack technical depth, we default to adoption over invention, and talented professionals move overseas for better opportunities.
In Where Are Australia's Data Science Leaders? The Case for Technical Career Pathways, Data Science Actuary and Quantium Executive Victor Bajanov recommends that companies that want to transform will need to have leadership teams with a deep understanding of what AI can – and cannot – achieve to be able to fully embed AI into their organisation.
The global competition for markets, talent and innovation is increasingly won by those who can effectively blend human expertise with AI capabilities. If Australian organisations don't catch up — and quickly — we risk our entire nation being left behind in the global economy.
— Victor Bajanov, FIAA
In brief:
- Many Australian organisations are focused on implementing existing AI solutions rather than driving genuine innovation. Only 18 per cent (approximately A$650 million) of Australia's total AI investment goes to infrastructure and foundational capabilities, compared to Canada (A$2.7 billion) and Singapore (A$5 billion).
- Although Australia has a wealth of talented tech professionals, a lack of career pathways into leadership often results in them moving overseas to be at the cutting edge of innovation.

About the author
Victor Bajanov
Victor Bajanov is a Fellow of the Actuaries Institute and an analytics leader with two decades of experience in data science. Currently serving as Executive AI Transformation at Quantium, Victor has a diverse background spanning consulting and product development across industries, including financial services, retail and telecommunications. Victor is a member of the Institute's Data Science and AI Practice Committee, and has served as an expert witness for the Federal Court of Australia.
Dialogue Papers are a series of papers written by actuaries and published by the Actuaries Institute which aim to stimulate discussion on important, emerging issues. Opinions expressed in this publication are the opinions of the Paper's author and do not necessarily represent those of the Institute.
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