Join us at Data & AI Edge, Australia’s leading data and artificial intelligence conference

Claudine Ogilvie is the Chief Information Officer for Jetstar and Non Executive Director with Youi Insurance. She has a deep understanding of strategy, risk, technology and innovation; and expertise in governance, transformation, marketing and Asia markets. Prior to Jetstar Claudine was CIO for Ridley Corporation; she managed KPMG’s Consumer and Industrial Markets business. She also held product management, sales operations and marketing roles for International SOS (Australia, NZ, PNG and Pacific Islands), British Petroleum (BP Australia) and Unipath (France).

Claudine is a graduate of the Australian Institute of Company Directors (GAICD). Claudine is an alumni of the Australia-ASEAN Emerging Leaders Program Kuala Lumpur, and an Asialink Leaders Program alumni (Melbourne University). She has a Bachelor of Business from the University of Technology Sydney, Australia (B.Bus) and a Diploma of Business Management from the Ecole Supérieur de Commerce Reims, France (Dip.Mgnt).

Dayle joined Telstra in July 2021 with nearly 30 years’ experience in the technology industry. She has held notable executive leadership roles in technology at companies such as NAB and AGL. Today Dayle leads Telstra’s Data & AI function.

Outside of Telstra, Dayle is a non-executive director at Beyond Blue, Australia’s most well-known and trusted mental health organisation, and a member of the IT Advisory Committee at Trinity College, University of Melbourne.

Dayle has long championed diversity in STEM across industry and age group boundaries, both through her own work and with global organisations aimed at encouraging women and girls to participate in STEM such as Robogals and Girl Geek Academy.

Dayle’s work has been recognised with multiple industry and professional awards, including being named in the CIO50 list of the best CIOs in Australia, the Australian Financial Review’s 100 Women of Influence, and being awarded an Order of Australia Medal for her services to information technology and to women. 

Michael is an experienced business leader with a strong technical foundation in statistical AI systems. He began his career with a PhD in Finance from the London School of Economics, eventually moving into institutional asset management and quantitative research (Blackrock, Fidelity, AXA). Later, transitioning to the development of AI systems for institutional investment programmes, while continuing to teach Masters courses in quantitative techniques and analysis at LSE and Imperial College.