Chief Data Officer Canada · Global perspective
Gabrielle Laurier
Making trusted data useful in consequential decisions.
- Trusted source of truth
- 1
- Replacing 37 conflicting reports
- Value from analytics
- ₹410 Cr
- Verified by finance, year three
- Models governed
- 220
- Under one responsible-AI framework
- Time to decision data
- 9 days → 4 hrs
- For the executive committee
Designed for consequence.
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.
The evidence register
| Reference | Leadership work |
|---|---|
| 01 | Enterprise data ownership ↗ |
| 02 | Decision intelligence ↗ |
| 03 | Responsible AI adoption ↗ |
The leadership record
Trusted with consequential decisions.
In the boardroom
- Westmoor Housing FinanceIndependent Director · 2023 — Present
- The Responsible Data InstituteAdvisory Board Member · 2020 — Present
Recognition
- Data Leader of the YearThe Applied AI Forum · 2024
- Responsible AI AwardThe Technology Leaders Review · 2023
In conversation
- “Governing 220 models without slowing the business”The Applied AI Forum · 2025
- “The board's role in responsible AI”The Boardroom Review · 2024
- “Episode 120 — Data people can trust”The Leadership Ledger podcast · 2023
Made our data trustworthy enough to bet decisions on — and honest about where it was not.
An invitation
The most consequential work begins with a conversation.
For board, advisory and leadership conversations where data strategy matters.
- Board appointments
- Advisory roles
- Speaking invitations
office@gabriellelaurier.example