I
Enterprise data ownership
Business functions were maintaining different versions of a critical performance measure.
The full account
Chief Data Officer · China · Global perspective
QingGuo
Making trusted data useful in consequential decisions.
I help enterprises turn data into a trusted part of how decisions are made.
Open to
- Board appointments
- Advisory roles
- Speaking invitations
1
Trusted source of truth
Replacing 37 conflicting reports
₹410 Cr
Value from analytics
Verified by finance, year three
220
Models governed
Under one responsible-AI framework
9 days → 4 hrs
Time to decision data
For the executive committee
Trusted data becomes valuable when people can use it responsibly in a decision. I connect ownership, quality and analytical capability to business purpose, with explicit limitations and human accountability for consequential uses.
Qing Guo
Chief Data Officer
Areas of stewardship
Where accountability has been mine.
- IData strategy
- IIData governance
- IIIAnalytics adoption
- IVResponsible AI
Selected work
Decisions, and what they changed.
II
Decision intelligence
An analytics initiative had produced technically sound outputs that were not part of the management routine.
The full accountIII
Responsible AI adoption
Teams wanted to move AI experiments into business use without a consistent review process.
The full accountIn the boardroom
Stewardship beyond the executive role.
Westmoor Housing Finance
Independent Director
Risk · Data & AI Ethics (Chair)
2023 — Present
The Responsible Data Institute
Advisory Board Member
Standards Council
2020 — Present
In the words of others
Trusted by those who appoint.
Made our data trustworthy enough to bet decisions on — and honest about where it was not.
The clearest voice on responsible AI in our boardroom.
The journal
Perspective, set down with care.
Data ownership must resolve a real problem
Naming an owner is only useful if that person can make the decisions needed to keep information fit for purpose.
Read the essayAnalytics delivery includes the decision routine
An analytical output can be accurate and still fail to influence the work it was intended to support.
Read the essayAI evaluation starts with purpose and exposure
An AI use case needs to be assessed in the context of the decision or task it supports.
Read the essayRecognition
Honours
- Data Leader of the YearThe Applied AI Forum2024
- Responsible AI AwardThe Technology Leaders Review2023
On record
As featured in
The Applied AI Forum · 2025
“Governing 220 models without slowing the business”
The Boardroom Review · 2024
“The board's role in responsible AI”
The Leadership Ledger podcast · 2023
“Episode 120 — Data people can trust”
An invitation
The most consequential work begins with a conversation.
For board, advisory and leadership conversations where data strategy matters.
Open to
- Board appointments
- Advisory roles
- Speaking invitations
office@qingguo.example