The journey so far
Chief Data Officer · India · Global perspective
Making trusted data useful in consequential decisions.
I help enterprises turn data into a trusted part of how decisions are made.
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
The compass
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 route
Waypoint 01 · 2008 — 2013
Lumen Payments
Designed fraud models at national scale, and learned that a model is only as good as the decision it improves.
Waypoint 02 · 2013 — 2018
Westmoor Housing Finance
Built the credit analytics capability that reduced losses while widening access to first-time borrowers.
Waypoint 03 · 2016 — 2020
Fairhaven Holdings
Built data and analytics capability around priority business uses.
Waypoint 04 · 2020 — Present
Aldermoor Group
Leading enterprise data strategy, governance and analytics adoption.
Expeditions
01
Business functions were maintaining different versions of a critical performance measure. I worked with the accountable owners to define the measure, document its source and agree how exceptions would be handled. The programme treated data ownership as an operating responsibility and gave users a visible path for resolving quality issues.
02
An analytics initiative had produced technically sound outputs that were not part of the management routine. We redesigned the work around a specific decision, involved the decision owners in evaluation and made limitations visible in the way findings were presented. Adoption became part of the delivery definition.
03
Teams wanted to move AI experiments into business use without a consistent review process. I convened product, data, risk and operating leaders to agree evaluation criteria, human accountability and monitoring responsibilities. The approach allowed use cases to be assessed on their actual purpose and exposure rather than on enthusiasm for the technology.
Terrain
Languages
Harbours
Independent Director
Risk · Data & AI Ethics (Chair)
2023 — Present
Advisory Board Member
Standards Council
2020 — Present
Fellow travellers
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.
Dispatches
Naming an owner is only useful if that person can make the decisions needed to keep information fit for purpose.
Read the essayAn analytical output can be accurate and still fail to influence the work it was intended to support.
Read the essayAn AI use case needs to be assessed in the context of the decision or task it supports.
Read the essayRecognition
Coverage
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
For board, advisory and leadership conversations where data strategy matters.
office@nanditashah.example