The person behind the perspective
Ingrid Duvall
Making trusted data useful in consequential decisions.
I help enterprises turn data into a trusted part of how decisions are made. My work spans ownership, quality, analytics and responsible AI, with a focus on the business practices that allow technical capability to be used well.
I begin with a decision and the people accountable for it. Understanding their information needs helps identify which data matters, where its limitations sit and who must own its quality. Governance should make those responsibilities workable rather than add a parallel layer of administration.
I bring business owners, technologists and risk colleagues into the same conversation. A useful data strategy is one the organisation can explain, operate and challenge when circumstances change.

In my own words
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.
Ingrid Duvall
Career
Chapters of accountability
2020 — Present
Chief Data Officer
Aldermoor Group
Leading enterprise data strategy, governance and analytics adoption. Working with business owners and risk colleagues to connect trustworthy information and responsible AI with defined decision needs.
2016 — 2020
Vice President, Data & Analytics
Fairhaven Holdings
Built data and analytics capability around priority business uses. Developed operating practices for data ownership, quality evaluation and the communication of analytical limitations.
2013 — 2018
Head of Analytics
Westmoor Housing Finance
Built the credit analytics capability that reduced losses while widening access to first-time borrowers.
2008 — 2013
Lead Data Scientist
Lumen Payments
Designed fraud models at national scale, and learned that a model is only as good as the decision it improves.
Education
Formation
- PhD, StatisticsEastgate Institute of Technology2007
- M.Sc, MathematicsKingsgate University2002
Recognition
Honours
- Data Leader of the YearThe Applied AI Forum2024
- Responsible AI AwardThe Technology Leaders Review2023
Working languagesEnglish · German · French