Chief Data & Value Creation Officer

Building the systems behind intelligent growth.

From complexity to commercial value.

I connect people, data, identity and AI with the products, partnerships and operating models that turn potential into business value.

Explore my thinking Watch & listen

Selected career

Omnicom & Acxiom
IPG & Kinesso
Publicis Media
Dentsu

What I do

Connecting capability to outcomes.

Data as a value engine

I treat data as something that should earn its keep. When identity, audiences and measurement are connected to real products and partnerships, data stops being a cost and starts creating value.

Enterprise orchestration

I bring teams, platforms and partners into one working rhythm, so strategy, technology and operations move together instead of in parallel.

Human judgment & AI

I believe AI is most useful when people stay clear about context, decisions and accountability. Systems should support judgment, not replace it.

Career expertise

My work grew up inside agencies and data companies, where integrated media, audience strategy, measurement and marketing technology were the daily craft. I bring this media foundation to AI, advanced analytics, advertising and marketing operations, and business and technology transformation.

Integrated media
Audience strategy
Measurement
Marketing technology
Identity
Product operations
AI
Advanced Analytics
Advertising and Marketing Operations
Business and Technology Transformation

View career expertise

Developing research

What comes after identity?

Recognizing a person is only the start. My developing work on Relationship Intelligence asks what happens when we also understand the relationships around them, the context they are in, what they intend and who has the authority to act.

Relationships
Context
Intent
Authority

Read about Relationship Intelligence

Ideas & frameworks

A connected body of thinking.

The Sherpa advantage

Guiding the work from vision to value.

STAGE 1
Align
outcomes and people
Agree on the value we are creating and who needs to own it.
STAGE 2
Architect
systems and operating model
Design the data, technology and team structure that will carry it.
STAGE 3
Build
useful solutions
Make things people will actually use, not just admire.
STAGE 4
Launch
offer and adoption
Bring the work to market and help people adopt it well.
STAGE 5
Grow
through measurement and improvement
Learn from evidence and keep improving what matters.