25 years across global banking — building the data and AI foundations that large institutions run on.
Enterprise data and AI strategy at scale, with run-and-change portfolios in the hundreds of millions.
Modern data platforms — sourcing, governance, AI/ML, marketplace — built and run by teams of thousands.
Deep regulatory engagement across APRA, HKMA and global supervisors. Governance that enables, rather than blocks.
I help banks move from siloed data production to a centralised producer–consumer model, where data is discoverable, trusted, and reused across the business.
Building the platforms, controls and culture that let large, regulated organisations adopt AI/ML without trading away safety, fairness or resilience.
The hardest part of any data transformation is talent and culture. I've led teams from 500 analysts to 3,800+ engineers, and the work I'm proudest of is the leaders those teams went on to become.
I'm a data and AI executive who has spent 25 years in global banking — most of it on the unglamorous, important work of turning data into something an institution can actually trust and use.
I grew up between Taiwan and Australia. School at Sydney Grammar, then the University of Sydney on a Chancellor's scholarship — a double degree in Chemical Engineering and Commerce, Honours Class 1. I qualified as an actuary at Trowbridge / Deloitte and spent the next sixteen years at Commonwealth Bank of Australia, moving through Group Market Risk, Group Treasury, Wealth Management (where I served as Chief Risk Officer of CommInsure), Group Analytics, and finally as Group Chief Data Officer.
In 2020 I moved to Hong Kong to take on HSBC Asia Pacific as Chief Data Officer. From there I led HSBC's Group Data Technology globally as CIO — 3,800+ engineers, a half-billion-dollar portfolio, and the enterprise data architecture underneath it — before stepping into Chief Data Analytics Officer for Asia & Middle East in 2025.
Since July 2027 I have been ANZ's first Group Chief Data & AI Officer, based in Sydney.
The work is always the same shape: take a large, regulated organisation that has accumulated data in silos for decades, and turn that data into a usable asset — discoverable, trusted, modelled consistently, governed without friction. Then build the AI and ML capability on top of it, responsibly. Then build the leaders who can keep it going after I've left.
I've been lucky to do this with extraordinary teams across Sydney, Hong Kong, and twenty Asian markets, alongside regulators who have pushed the standard higher every year.
Australian. Husband. Father to a daughter. Born in Taiwan, schooled in Sydney, shaped by Hong Kong. I travel for work and for the pleasure of it, and I think more clearly with a long walk and a strong coffee than I do in most meeting rooms.
"What you think, you become."
— Buddha
Twenty-five years across two of the largest banks in the Asia-Pacific region, plus the actuarial and entrepreneurial roots that came before.
I speak and write about the things I've spent a career doing — turning data into an institutional asset, building AI capability responsibly, and leading large technical teams across cultures.
Board observer
Periodic notes on data, AI, governance, and the leadership work in between.
"What you think, you become."
— Buddha
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