/Abstract

Setting AI teams up for success can be difficult, especially when you’re trying to balance the need to provide teams with autonomy to innovate and solve interesting problems while ensuring they are aligned to the organizations' strategy. Operating models, rituals and processes can really help to set teams up for success; but, there is no right answer, and as you scale and priorities change your approach needs to change too.

Grant shares some of his learnings in establishing a cross-functional team of data scientists, engineers, analysts, product managers, and otologists to solve employment information problems at SEEK, and how the team has evolved as they’ve scaled from a team of 30 in Melbourne Australia to over 100 team members across 5 countries in the past three years.

// Bio

Grant heads the Artificial Intelligence & Product Analytics teams at SEEK, where he leads a global team of over 120 Data Scientists, Software Engineers, Ontologists, and AI Product Managers who deliver AI Services to online employment and education platforms across the Asia Pacific and the Americas.

Grant has held various strategy and product and tech leadership roles over the past 15 years, with experience in scaling, AI teams to deliver outcomes across multiple geographies.

Grant holds a Bachelor of Computer and Information Science (Software Development) and a Bachelor of Business (Economics) from the Auckland University of Technology.

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