Amy Shi-Nash

Amy is a purpose-driven executive, focused on creating value and competitive advantage through customer obsession and future ready capabilities. She has 25 years’ experience in Gaming, Banking, Telecoms, Retail, Technology across three continents. Her career is grounded in deep technical expertise, strong commercial acumen, and a passion for delivering meaningful, scalable outcomes for both Customers and Organisations.

As Chief Analytics and Data Officer at Tabcorp, Amy leads its analytics and AI strategy and execution, drove significant business transformation and profitability growth, next-gen customer experience while upholding regulatory compliance and player safety. Previously, Amy held senior leadership positions at CBA, HSBC, and NAB, leading large-scale analytics and data science functions, driving strategic initiatives such as data management modernisation, data-driven decision making and advanced risk practice across complex and highly regulated environments. Amy also co-founded DataSpark, a pioneering data monetisation spin-off, taking it from inception to commercial success, scaling the business into five countries. Through these roles, Amy has demonstrated significant leadership in strategy and innovation, building positive culture and delivering commercial success.

Amy serves in various external roles, such as a Data Board member at MIT Sloan Management School’s CISR and a Board Member at Mental Health Innovations. She was appointed as independent member of AI Public Private Forum by Bank of England and Financial Conduct Authority. Amy is named one of the Top 30 Women Tech Leaders in Australia and Global Top 100 Innovators in Data and Analytics. Her commitment to promoting positive social impact and data-driven innovation continues to make a significant impact both within and outside her professional endeavors.

Amy has a Ph.D in Data Mining, a MSc in AI, a BSc in Computer Science and an MBA. She is also a Graduate member of the Australian Institute of Company Directors (GAICD). She was awarded an Honorary Doctorate for her leadership and contributions in the field of data science.