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Ms

Susan Gibson

Head Of Artificial Intelligence

CDO Office

  • Head Of Artificial Intelligence
    CDO Office

BIO

Susan Gibson is an Australian AI transformation leader specialising in enterprise artificial intelligence strategy, generative and predictive AI adoption, and responsible AI governance. She combines strategic leadership with deep technical expertise to help organisations harness data and AI to transform decision-making, operations and long-term strategy.

 

Susan has successfully led large-scale data, analytics and artificial intelligence initiatives that enable organisations to adopt emerging technologies in practical and impactful ways. She is widely respected by senior executives, peers, industry partners and the teams she leads for her ability to translate complex technological opportunities into clear business outcomes. Known for her influence, clarity and tenacity, Susan drives complex transformation programs and builds strong cross-organisational partnerships that deliver sustainable innovation and meaningful change.

 

A passionate advocate for the responsible adoption of artificial intelligence, Susan focuses on embedding AI as a strategic organisational capability. In her current role she leads initiatives to develop AI fluency, governance frameworks and organisational capability, ensuring that generative AI, predictive analytics and machine learning are implemented ethically and effectively. She has established robust governance mechanisms, including the development of institutional AI policy frameworks, enabling responsible AI adoption while supporting new ways of working, informed decision-making and long-term strategic advantage.

 

Susan regularly contributes to industry discussions on the future of artificial intelligence, organisational AI capability and responsible AI adoption. She is also a strong advocate for increasing the participation and leadership of women in technology and artificial intelligence, supporting initiatives that create more inclusive pathways into technology careers and leadership roles.

 

She is particularly interested in how organisations can build sustainable AI capabilities that combine technology, governance and workforce transformation to ensure artificial intelligence delivers long-term societal and economic value.

DEGREES

  • Master Business Technology
    University of Technology Sydney, Sydney, Australia
  • Bachelor of Business
    University of Southern Queensland, Toowoomba, Australia

PROFILE TYPE

  • Professional