Design, product, and transformation leadership

I turn human problems into enterprise systems that scale.

My work sits where human needs, business intent, and hard technology meet — across Fortune 1 platforms, zero-to-one products, and mission-driven institutions.

(Key questions)

When the brief is ambiguous, where does the real problem actually live?

Will the people who have to build it trust it — and adopt it?

Is it one coherent system, or a pile of features?

1 — 3

Selected work

Proof by business problem.

View all work

View all work

Selected companies & collaborators

Where the work has been proven.

  • Microsoft
  • Walmart
  • Northwestern Mutual
  • Google
  • Adobe
  • Nike
  • Xbox
  • Comcast
  • Toyota
  • Kate Spade
  • Open Society Foundations
  • NYC MTA
  • City of New York
  • SFMOMA

The Method

Human Problem → Enterprise System

Explore the method

New technology only creates value when the organization can use it.

A way of working I've refined across two decades — from a fuzzy problem to something real, adopted, and measured. Not a deck. The actual path the work takes.

  1. Human signal
  2. Product hypothesis
  3. Prototype
  4. Evidence
  5. Alignment
  6. How the work runs
  7. Scale
  8. Outcome

About

Operator, builder, systems thinker.

Twenty years leading design and product — at Microsoft, Northwestern Mutual, Sustain.Life / Workiva, and Walmart, and at Control Group, where the work served the NYC subway, the Open Society Foundations, and the Edward M. Kennedy Institute.

Most recently, at Walmart, I led the shift from dozens of disconnected associate AI agents to Squiggly, a unified Associate AI Platform designed for 2.1M associates worldwide. I've built the products, led the teams, and set the operating discipline myself — the judgment on this site comes from doing the work, not advising on it from a distance.

Read about David
David Nelson

Work together

Bring the right ambiguity.

For executive roles, advisory, board work, or speaking — or simply a conversation about a problem worth solving well.