Johnathan Margheret

Product leader delivering high-impact data, AI and software products.

Six years turning ambiguous, regulated problems into products people actually use, across B2B SaaS and enterprise data platforms.

Johnathan Margheret

Background

Product leader at the intersection of data, AI, and outcomes.

I build complex data and AI products that turn strategic ambiguity into shipped solutions with measurable business impact. Over 6+ years spanning B2B SaaS, internal platform development, and enterprise data infrastructure, I've shipped AI document-extraction applications, machine learning platforms, and analytics products that together have driven millions in revenue and cost savings.

I bridge executive leadership, engineering, and business stakeholders in complex, regulated environments. I captain end to end, from product vision and discovery through delivery, launch, iteration, and adoption. Today I lead data product strategy at TEAM Services Group, owning a modern stack spanning Snowflake, dbt, Dagster, Power BI, and Streamlit across 120+ integrated systems. When I'm not shipping enterprise data products, I'm still in the garage honing my skills and building apps that solve problems.

6+ Years in Product Data and AI products in regulated industries
Millions Revenue & Savings Driven by the AI, ML, and data products I've shipped
8× Adoption Growth A product people loved, with 8x the usage in six months
120+ Integrated Systems Source systems managed across the data stack
16 Orgs Unified Onto one data platform, 0 to 1 in under six months

What I Bring

01

Outcomes over output

I measure a product by what changes for the business and the people using it, not by how much ships.

Proof My lead-scoring product became Procare's main source of net-new pipeline.

02

Grit and determination

I don't back off hard problems, whether it's a messy platform migration, a heavy lift at the gym, or a steep line on the mountain.

Proof Unified 16 organizations onto one data platform, 0 to 1 in under six months.

03

Endless curiosity

I learn by building. When a new tool or idea shows up, I want to know how it works and what it makes possible.

Proof After hours I built WanderMate, an outdoor trip decision engine with transparent scoring, using Cursor and Claude Code. It's the updated version of my first trip planner, TripForge.

04

Optimization machine

If a process can be faster, cleaner, or automated, I'll find it, and then measure whether it actually got better.

Proof Rolled out Agile/Scrum that increased team delivery velocity by 300%.

05

Team captain

I grew up playing soccer and still play. I lead the same way at work: aligning executives, engineers, and the business on one plan, and putting the team first.

Proof I lead a cross-functional data team and an outcome-driven roadmap set with executive leadership.

Work Experience

2024 – Present

Product Manager, Enterprise Data Products

TEAM Services Group

National in-home healthcare platform  ·  15+ brands  ·  50 states

  • Unified 16 organizations onto a single data platform, shipped 0 to 1 in under 6 months
  • Shipped an AI document-extraction platform, now extended to a second high-volume workflow, saving millions annually
  • End-to-end ownership across Snowflake, dbt, Dagster, Power BI, and Streamlit
  • 120+ source systems integrated spanning payroll, operations, and clinical platforms
  • Cross-functional data team lead who drove Agile adoption and delivery predictability across the org
  • Outcome-driven data roadmap delivered in partnership with executive leadership across 50 states
Snowflake dbt Dagster Power BI Streamlit AWS Python SQL GitHub Jira Figma
Johnathan at work
2022 – 2024

Product Owner, Data Platforms

Procare Solutions

#1 US childcare management software  ·  37,000+ customers

  • $1.5M pipeline generated and $80K saved annually via ML-powered lead scoring platform
  • 8x analytics platform growth and a 375% active user increase, all in six months
  • Predictive churn model protecting ~$100K ARR from at-risk accounts
  • Customer matching identified 3,000+ unbilled accounts, directly improving revenue integrity
  • 300% team delivery velocity increase through full Agile/Scrum implementation
  • LLM-generated opportunity summaries integrated into CRM for real-time sales coaching
Python SQL Machine Learning Power BI Pendo Salesforce Jira Confluence
2021 – 2022

Associate Product Manager

Seamless.AI

AI sales intelligence platform  ·  LinkedIn Top 50 Startups

  • Owned the product backlog for a high-velocity SaaS development team at a Top 50 AI startup
  • Architected and maintained the company's entire product intake flow and automation system
  • Cross-functional alignment across support, sales, and executive leadership on roadmap and delivery
Jira Agile Figma Product Strategy Backlog Management

Featured Projects

01

Papertrail AI

AI document-extraction application for in-home healthcare at TEAM Services Group.

How it came together

Problem High-volume documents were keyed in by hand across 15+ brands. It was slow, repetitive, and easy to get wrong.

What I built A Python and Streamlit application that uses an LLM to read each document and extract the fields that matter, with a human-in-the-loop review step so reviewers approve instead of transcribe, and an integration that writes clean data downstream into the EMR. Built first for compliance documents, then extended on the same pipeline to a second workflow.

Outcome Millions saved each year, with manual entry and reconciliation work nearly eliminated.

AI Python Streamlit LLM
02

ML Lead Engine

Machine learning lead generation platform built for Procare Solutions.

How it came together

Problem Sales had no dependable source of net-new pipeline. Reps picked leads on gut feel and a lot of them went nowhere.

What I built An end-to-end lead-scoring product: a machine learning model defined with data science, plus a Salesforce integration that puts each score in front of reps inside the workflow they already use.

Outcome It became the company's main source of net-new pipeline and lowered acquisition costs.

Python Machine Learning SQL Salesforce
03

TE Health Dashboard

Customer health product for Procare's Tuition Express payment platform.

How it came together

Problem The business had no live read on product health, so nobody saw which payment accounts were quietly slipping until it was too late.

What I built A customer-health product in Power BI fed by Pendo product signals. The harder part was deciding which engagement and usage metrics actually meant an account was at risk, rather than just charting everything.

Outcome Gave the team its first real-time pulse on product health and the accounts worth worrying about.

Power BI SQL Pendo Product Analytics
04

Churn Intelligence

Predictive churn and account-health scoring for Procare's 37,000 customers.

How it came together

Problem Cancellations kept catching the team off guard. There was no early warning across a base of 37,000 accounts.

What I built A predictive churn model and account-health score, with features designed alongside data science and a playbook built with customer success for what to do when an account lit up.

Outcome High-risk accounts got flagged before they cancelled, protecting recurring revenue.

Machine Learning Python SQL Power BI

Personal Projects

In Development

Photizer

AI photo organizer for iOS

Private repo

An iOS app that scans your photo library and organizes it into albums by moments, trips, and categories, with search that actually works: by category, date range, or plain language. Claude vision handles tagging, captioning, and quality scoring, and embeddings power semantic search. Albums are virtual, so your Apple Photos library is never modified unless you export, and every action can be undone.

AI tagging and captions Plain-language search Moment and trip albums Photo quality scoring Non-destructive by design Undo for every action
React Native Expo TypeScript Supabase pgvector Claude API
In Development

WanderMate

Outdoor adventure decision engine for Colorado, Wyoming & Utah

View on GitHub

An outdoor trip decision engine for campers, hikers, and anglers across Colorado, Wyoming, and Utah. Enter your location, skill level, vehicle type, and crowd tolerance to get ranked, explained recommendations drawn from 24 curated trip zones. A transparent 0 to 100 scoring algorithm weighs activity fit, drive time, off-grid capability, and eight other dimensions, so you know exactly why a trip made the list.

Weighted activity selection Transparent 0 to 100 scoring Top 3 comparison tool Hidden-gem ranking Skill & vehicle matching Surprise Me mode
Next.js 14 TypeScript React 18 Tailwind CSS Zod
In Design

Starlight

Mobile auto-shooter roguelite for iOS & Android

Private repo

An original bullet-heaven game set in 2167, where a sentient AI collective called NEXUS has turned on the last human settlements. You play a Guardian: move with one thumb while weapons auto-fire, survive escalating machine waves, and destroy each sector's Signal Core. I ran it like a product, with an approved design doc, a milestone plan that proves "is it fun?" with one level first, and a 42-issue backlog.

15 weapons, 9 evolutions Roguelite meta-progression Per-character skill trees One-handed play Colorblind-safe design 60 FPS, ~250 enemies on screen
Unity 6 C# 2D URP iOS Android

Skills & Stack

Product

Product Strategy Roadmapping Stakeholder Management Data Storytelling Agile / Scrum OKR Frameworks Go-to-Market UAT Jira Confluence

Data & Engineering

Snowflake dbt Dagster SQL Python Power BI Streamlit AWS GitHub

AI & Automation

LLM Integration Anthropic API Prompt Engineering Cursor Claude Code

Design & Compliance

Figma Wireframing User Research HIPAA Compliance PHI/PII Data Governance

Off the Clock

Johnathan cooking in Tuscany
Tuscany. The schnitzel was good. The wine was better.

Weightlifting

Consistent training. Small gains, every week. The gym is the one place the roadmap doesn't follow me.

Extreme-terrain skiing

Not the groomed stuff. Cliffs, steep chutes, and whatever the mountain hides off the map.

Soccer

Grew up playing and still do. I get inexplicably competitive about it.

Let's talk.

Open to conversations about data and AI products: roles, advising, or just comparing notes.

Denver, CO  ·  Remote-friendly