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The founder

Alan Chan

Founder of Kouen AI Limited. Two decades at the intersection of data, finance, consulting and delivery — turning analysis into decisions that hold.

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Profile

A career spent where data meets the boardroom.

Alan Chan is the founder of Kouen AI Limited. Over two decades he has worked at the intersection of data analytics, financial analysis, management consulting and project management — with a track record across both the private and public sectors.

Before founding Kouen AI, he held Director of Data and Regional Head of Data Insights roles, leading teams of data engineers, analysts and scientists across Australia, Hong Kong, Taiwan, South Korea and Japan. His work has ranged from digital transformation and marketing technology to data strategy, analytics maturity and AI-driven performance improvement.

He is an accredited Gateway Reviewer in Australia, has contributed to the review of some of the country’s largest and most complex infrastructure projects, and is a member of Engineers Australia. He holds an MBA and a Postgraduate Diploma in Management from Melbourne Business School, and a Bachelor of Engineering (Hons) and Bachelor of Science from the University of Melbourne.

Experience

Two decades, five markets.

Leadership roles across data engineering, analytics and data science — with accountability for the insight agenda, not just the output.

2024 — Now

Founder — Kouen AI Limited

A boutique consultancy working directly with leadership teams on data, AI and analytics. Senior-only delivery: the person you meet is the person doing the work.

Prior

Director of Data

Led data engineering, analytics and data science teams, with accountability for data platforms, governance and the organisation’s insight agenda across multiple markets.

Prior

Regional Head of Data Insights

Built insight capability across Australia, Hong Kong, Taiwan, South Korea and Japan — setting data strategy, lifting analytics maturity and creating a genuinely evidence-based culture.

Prior

Digital transformation & MarTech

Delivered cloud-based transformation programmes on Salesforce, Marketing Cloud and Google Cloud — joining up customer data, marketing operations and measurement.

Prior

Financial analysis & management consulting

Commercial analysis, business cases and project delivery for large organisations — the financial discipline that keeps analytics honest about value.

Ongoing

Independent assurance

Accredited Gateway Reviewer for large, complex, multi-billion-dollar infrastructure projects — testing the evidence behind the claims.

Expertise

What I bring to the table.

01

Data strategy & governance

Ambition translated into a sequenced plan — with the operating model, ownership and funding to make it real.

02

Analytics engineering & BI

Warehouses, pipelines, semantic layers and dashboards built to be trusted and maintained.

03

AI & machine learning

Forecasting, classification and LLM applications — evaluated honestly and deployed with guardrails.

04

MarTech & customer data

Salesforce, Marketing Cloud and customer data platforms, joined into a single view of the customer.

05

Financial & commercial analysis

Business cases, unit economics and benefits tracking that survive a board or treasury review.

06

Programme assurance

Independent review of complex delivery — where the evidence, the risk and the numbers are tested.

How I work

Senior, direct, and accountable.

Kouen AI is deliberately small. That means no account managers, no handover to a junior team, and no advice I would not act on myself.

01

Plain language

If a finding cannot be explained to a busy executive in two minutes, it is not finished.

02

Evidence over opinion

Recommendations come with the numbers, the assumptions and the uncertainty attached.

03

Build capability, not dependency

Every engagement is designed so your team can run it without me afterwards.

Start a conversation

Next step

Let’s make your data decisive.

Tell me the decision you are trying to make. I’ll tell you honestly whether data and AI can help — and what it would take.