Jonathan Salmon
Jonathan Salmon
Data · AI · Governance

I build the data, AI, and governance foundations that let enterprises move fast with confidence.

I'm Jonathan Salmon, Director of Enterprise Intelligence at Centene, leading a 15-person team in one of healthcare's most demanding data environments. I help organizations build the data, AI, and governance foundations — the platform and reporting control that kills waste and ships core products with best practices.

Track record

Proof, not job descriptions

What I've actually owned and delivered — the kind of scope a VP remit is built on.

How I lead

Operating principles

The beliefs I actually manage by — not poster slogans.

  1. Empower strong engineers; don't micromanage.

    Hire well, set direction, clear obstacles, get out of the way. Control is the enemy of scale.

  2. Clarity is kindness.

    Say the thing — to your team, your peers, and up. Ambiguity is where careers and projects quietly die.

  3. Every artifact must earn its existence.

    Reports, dashboards, meetings, metrics: prove value or kill them. Waste compounds; so does focus.

  4. Develop people relentlessly.

    Your team's growth is your output. Mentoring isn't charity work — it's how you build an organization that outlasts you.

  5. Boldness is a practice.

    Ask earlier. Advocate louder. Manage up on purpose. Power dynamics are real; pretending they aren't is not a strategy.

  6. 80/20 everything.

    Most value concentrates at the edges; most effort bleeds into the middle. Find the vital few inputs, starve the trivial many, and treat waste as the enemy — because it is.

The AI Signal

What I'm reading in AI

Five stories a day from a short list of sources I actually read — each with my one-line take. This is how I stay in the conversation.

Updated Wednesday, September 16, 2026

MIT Technology Review

The AI industry has taken a doomer turn. What now?

My take: When vendors start selling fear alongside their products, ask who profits from the alarm. Leaders should price AI risk like any other enterprise risk — with evidence, not vibes.

OpenAI

How Fyxer built an AI executive assistant people trust

My take: Trust is the product feature here, not the model. If your people won’t trust an AI with their calendar, capability doesn’t matter — adoption is a trust problem first.

Simon Willison’s blog

The contagion of fear

My take: Cantrill’s point is a leadership one: experts hold the public’s trust implicitly, so alarmist claims carry a burden of proof. Inside a company it’s the same — leaders who cry wolf on AI risk or AI magic lose the room.

Simon Willison’s blog

We are all product engineers now

My take: The scarce skill was never typing code — it’s knowing what’s worth building and defining it precisely. If your org still rewards output over judgment, AI made your engineers cheaper without making your products better.

OpenAI

Perplexity trusts GPT-6 Astra with end-to-end systems

My take: End-to-end means the AI owns the whole workflow, not one step. The trust bar for that is a completely different bar — it’s an operations and governance problem, not a demo.

Sources I read daily: MIT Technology Review (AI), OpenAI, Google DeepMind, Simon Willison’s blog, and Ethan Mollick’s One Useful Thing. No aggregators, no hype feeds — five picks, every morning. Browse the archive →
Building

Independent ventures

Founder work I run outside my day job — where I stay close to the craft of shipping.

Founder · Live in production

Geodynix

U.S. market-intelligence product unifying demographic, economic, housing, and business data — sold as a Snowflake data product and a self-serve insights app.

Founder · In development

Profit Sentinel

B2B SaaS: continuous profit-leak intelligence for mid-market trade contractors, auditing the seams between their operational and financial systems.

Writing

Essays in progress

I'm writing on AI in the enterprise, data leadership, and organizational power — publishing soon on LinkedIn and Medium as part of a deliberate content practice. The AI Signal above is the daily version; the essays are the deep version.

Contact

Let's talk.

I make time for good conversations — with data and AI leaders, founders who want an advisor, or peers working on the same hard problems. I read everything myself.

jonathan.salmon@gmail.com

Résumé available on request.