Product Leader · Physician · Author

Yoram Friedman, MD

Enterprise AI and data platforms, grounded in product leadership and clinical experience.

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Yoram Friedman, MD

Selected product work

Complex platforms. Practical outcomes.

My work spans enterprise data, cloud infrastructure and digital health. Across them, I help teams turn complex capabilities into products people can use and trust.

Enterprise data & AI · SAP

Making business data usable for AI

I lead product areas spanning developer experience, extensibility, data products and governance. The challenge is connecting enterprise business context with the people and AI systems that need to use it.

Product leadership across the data and developer experience.

My focus

Define product priorities and work across teams on how data products are consumed, extended and governed. This builds on earlier work bringing SAP Connected Goods from concept to an enterprise IoT platform.

Cloud platforms · Walmart

Building the team behind the platform

As Director of Product Management, I built and led a global team of eight to ten product managers and defined the multi-year roadmap for a multi-cloud platform.

Global product team · private cloud, Azure and GCP.

Scope of the work

Unified provisioning, automation and governance, with reliability at Walmart scale, including peak retail events. My role connected platform priorities, engineering delivery and organizational adoption.

Digital health · Hello Heart

Connecting clinical workflows and product decisions

As the sole product manager, I worked across patient and clinician experiences and payer integrations for a regulated remote cardiac monitoring platform.

Patient and clinician experiences · eligibility, claims and incentives.

The clinical connection

My experience as a physician helps me understand how healthcare operates and what clinical workflows demand. It complements enterprise product experience when working with clinicians, patients and healthcare organizations.

Applied agentic AI · Independent practice

Testing the ideas I teach

I am building a supervised job-search agent that ingests opportunities, assesses fit with source evidence and keeps the final decision with the person looking for work.

An active project in retrieval, evaluation and human oversight.

What I am learning

I define the product behavior, ranking criteria and evaluation approach, then build with coding agents. Current work examines missed opportunities, evidence quality, supervision and operating cost. This is an ongoing experiment, not a claim of production maturity.

About

Product leadership, clinical experience, and a practice of teaching

I bring more than fifteen years of enterprise product experience across Microsoft, SAP, Walmart and digital health. My clinical background and teaching work add different kinds of depth to that foundation.

My clinical training in anesthesiology and radiology gives me direct experience of healthcare workflows, decisions under uncertainty and the consequences of getting them wrong. In healthcare product work, that is domain knowledge as well as a discipline of judgment.

I lead product areas for SAP’s Business AI Platform. Previously, I was Director of Product Management at Walmart Global Technology and led digital health product work at Hello Heart. I have worked both as a product organization leader and as a senior individual contributor.

The hardest part of technology transformation isn't the architecture; it's the people. I focus on the human and cultural side of change: how teams adopt new tools, where resistance comes from, and how to design rollouts that respect workflow reality and build genuine trust. Technology that isn't adopted isn't a product. It's a cost.

Recent · Harvard Medical School / Emeritus

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The thesis

“The team ships the agent. The product fails because no one ships the system that supervises it.”

From Why Agentic AI Products Fail

Work

Four books, a standalone, and a weekly column

A four-book series on building agentic AI products, and keeping the human judgment they route through. A standalone book on what medicine is risking by letting AI into the room. And 100+ articles, with new writing weekly.

The Agentic AI Series

Free online · agenticaiproductmanagement.com ↗

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Free to read online. Print and Kindle editions on Amazon: Book 1 · Book 2 · Book 3

The Second One in the Room

Standalone · On medicine

The Second One in the Room

Medicine let AI into the room and looked away, and almost no one noticed that the wall keeping watch went with it. A field report from that dissolution.

Available on Amazon ↗

Articles · Weekly

Data, Decisions, and Clinics

100+ articles on healthcare AI, enterprise data architecture, regulation, and what it takes for AI to move from pilot to production in a regulated environment.

data-decisions-and-clinics.com ↗

Companion · Skill package for Claude Cowork

Agentic AI PM Skill Package

Seven skills covering the agentic PM lifecycle, distilled from the series. Invoke them at the moment of need.

Install & learn more ↗

Companion · Interview reference

AI PM Interview Questions, Answered

Fifty-five questions answered from the product seat: the forty-four circulating, and the eleven nobody asks. Each linked to the chapter it comes from.

Read the answers ↗

On the shelf

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The signature framework

The Agentic AI PM Lifecycle

Six phases that name what a product manager actually does when shipping an agentic AI product. The backbone of the book, the article series, and the SAP Community posts. Most teams enter Phase 1 without Phase 0. That's where the failures begin.

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Deliverables

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Questions answered

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Phases 4 and 5 form a continuous feedback loop. Observe is the measurement layer; Operate is the response layer.

Used as the structural basis for the four-book Agentic AI Series, the article series at data-decisions-and-clinics.com, and the SAP Community AI Product Management posts. Adaptable as a multi-session PM upskilling program for organizations building agentic systems in regulated environments.

Frameworks

The vocabulary that fills the cells

50+ named mental models developed across the writing, each with an insight, a key phrase, and a source. The vocabulary that makes the lifecycle operational. Nine shown.

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Nine of 50+ shown. The rest live in the book and articles. Browse the full library →

Speaking & impact

Four books and a standalone. One argument.

My writing and teaching draw on enterprise product work, clinical experience and hands-on experimentation with agentic systems.

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Available for selected speaking engagements, podcasts, and advisory discussions on agentic AI product design, AI governance in regulated environments, and what medicine is risking by not watching closely enough.

Get in touch

Reach out

For product leadership opportunities, AI education, speaking or advisory work. I welcome conversations about enterprise AI and data platforms, healthcare products, and helping teams put AI into practice.

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