Enterprise Systems
That Outlast
the Initiative

Fifteen years designing the operating infrastructure that lets large, complex organizations scale without losing execution quality. At Amazon, that meant billions in revenue. Everywhere else, it meant the same thing: a system that runs after you leave the room.

$3.4B
Commercial program scope governed
500+
Locations operating on new model
5 wks
Zero to full global adoption
23%
YoY closed-won growth
See the Work Let's Connect
Michael D. Moore

Core Capabilities

Operating Model Design Program Governance Zero-to-One Execution Enablement Architecture AI-Enabled Workflow Integration Mechanism Design
About

I step into environments where execution is inconsistent and design the operating systems that fix it. I do not maintain systems. I design them.

I have spent fifteen years at the intersection of strategy and execution, taking on assignments where existing systems are under strain and translating leadership intent into durable operating architecture that holds long after the initiative closes.

My work spans operating model redesign, commercial program governance, revenue enablement infrastructure, and AI-enabled workflow integration. The pattern is the same across every engagement: diagnose where execution breaks down, then architect the system that fixes it permanently. At Amazon, that meant governing a $3.4B commercial program across globally distributed teams. At Whole Foods, it meant building a data layer that did not exist to stand up inventory operations across 500 stores. At L'Oreal, it meant designing a service model so reliable that a $400M book of business grew 110% year over year.

The last two years have added a new capability layer. I completed MIT's Applied Data Science program, earned Google's Advanced Data Analytics certification, and now build applied AI systems daily. The job search pipeline that powered this search is itself an AI system I designed and built from scratch. I do not apply AI tools to existing workflows. I design AI-native workflows from the ground up.

Case Studies

Three Systems. Measurable Scale.

Each engagement started with fragmentation. Each ended with a governed operating system that outlasted the initiative.

Amazon Ads

$3.4B

Revenue Scope

Redesigned tentpole events from fragmented vertical efforts into a unified, phase-based commercial operating system. Pitch coverage went from 32% to 80%. Closed-won revenue grew 46% year over year.

Whole Foods Market

500

Store Operating System

Built a zero-to-one inventory visibility system across 500 stores with no source systems. Created the data layer that did not exist, reduced defects by 25%, and accelerated engineering timelines by six months.

L'Oreal at Amazon

110%

YoY Portfolio Growth

Designed and led the Brand Concierge operating model for a $400M book of business. Achieved 99% fill rate, 100% IDQ, and 110% YoY portfolio growth by treating the account team as an extension of the client organization.

Amazon Franchise Operations

Network Playbook Design

$3M+

Quarterly incremental revenue

  • 40 franchise partners scaled
  • 20% defect reduction across network
  • Playbook adopted org-wide from scratch

LCS Academy

Enablement Redesign

8 wks → 5

Ramp time, 150+ account managers

  • Live participation: 50% to 85%
  • Curriculum rebuilt from 25 to 40 modules
  • Self-service learning pathways established

Rocket Learning

Sales Infrastructure Build

90%

Win rate on competitive bids

  • $15M+ in contracts closed
  • 33% market share growth in 18 months
  • Sales infrastructure and playbook built from zero
Build

AI-Native from the Ground Up

Beyond applying AI tools, I architect AI-native systems. These are two products in active development in 2026, each combining voice interfaces, LLM reasoning, and real-time data to solve problems that previously required full engineering teams.

In Development · 2026

Project Bridge

Scholarship Navigator · Student Readiness Platform

A voice-first AI platform that helps high school students build scholarship profiles through conversation instead of forms. A student talks, the AI listens, extracts structured data in real time, and builds their college readiness portfolio automatically.

Vapi Claude API Next.js Supabase Vercel
In Development · 2026

BUILD Coach

AI Sales Reinforcement Layer

The AI coaching layer for a field sales training system. Trained on proprietary pattern recognition and scenario logic. Fills the dead zones: the truck before the call, the parking lot, the debrief that never happens because the manager is not there.

Claude API Structured Prompting Pattern Library
Track Record

How the Work Gets Described

Observed patterns across six years of cross-functional environments, enterprise programs, and people leadership at Amazon scale.

Sees the system, not just the problem

The feedback that recurs most consistently is the ability to operate at two altitudes simultaneously. Diagnose root causes at ground level, architect solutions that hold at scale. Multiple stakeholders across years independently landed on the same observation.

"His capacity to navigate controversial waters, find alignment between teams, and bring new insights to the table is impressive, allowing key initiatives to move from ideation to implementation."

Installs systems that run without him

The consistent theme across programs is not delivery. It is durability. From Whole Foods inventory operations to global Tentpole governance, what peers and managers noted year after year was not that the work was completed. It was that the work kept producing.

"His talent for taking ownership and scaling solutions across teams was instrumental in addressing challenges during leadout phases, successfully incorporating these approaches into the broader GTM strategy."

Earns the trust that makes cross-functional work move

The most commercially relevant signal in the reviews is how he operates in environments where authority is distributed. Working relationships across product, retail, sales, and engineering earned over time, and those relationships become the mechanism for execution.

"He was able to serve as the trusted expert in his space that stakeholders went to when they had questions. A top-notch partner who can go deep, while also thinking big and strategically at the same time."

Translates leadership intent into executable systems

The clearest signal from direct reports and leadership alike is clarity under ambiguity. Where others see competing priorities, he sees a sequencing problem. Where others see blocked initiatives, he sees the path through the org chart.

"He excels at breaking down challenges, translating leadership directives into clear, prioritized goals, and instilling a culture of accountability."

Observed across enterprise retail integration, global advertising programs, cross-functional product and operations, and people leadership at Amazon scale.

Six years of formal review signal across multiple organizations

Contact

I design operating systems that outlast the people who commission them and teams that keep delivering after I am out of the room.

That combination is rare. If you are building something that requires both executive-level thinking and ground-level execution, and you need someone who does both at once rather than alternating between them, that is precisely what I bring. I am open to select conversations about where this belongs in your organization.

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