Product Leader · AI Strategist · Mission-Driven

Daniel
Schneiderman

Product Owner who builds with AI and ships things that hold up — currently at the United Nations, personally invested in T1D health tech.

Let's Connect LinkedIn ↗ ↓ Resume
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AI-First
Building LLM-powered products that meaningfully reduce manual work
Global Scale
Shipped products used by organizations across multiple continents
Mission-Led
Work spans the UN, health advocacy, and large enterprise transformation
Data-Driven
Every roadmap decision tied to real user and business outcomes

About

Where strategy
meets technology

I'm a Product Owner at the United Nations Global Compact, where I run the reporting product — building LLM integrations that automate what used to take teams weeks, and keeping the roadmap honest with real usage data instead of assumptions.

Before that I spent a few years as a PM and BA on large digital transformation projects, working directly with enterprise clients. I'm at my best when the problem is messy, the data is complicated, and there's a real person on the other end who needs things to actually work.

AI / LLM Integration Product Roadmapping Agile / SAFe React Prototyping Stakeholder Management Data Analytics Sustainability Tech Digital Transformation

Education & Credentials

  • B.S. Energy, Business & Finance
    Minor: Entrepreneurship & Innovation — Penn State University
  • SAFe Product Owner / Product Manager Certified
    Scaled Agile Framework
  • Advanced Scrum Master Certified
    Scaled Agile Framework
  • Skull and Bones Senior Honorary Society
    Penn State's highest honor — for humble service and unselfish leadership

Experience

Career highlights

United Nations Global Compact · New York, NY

Product Owner, Reporting

July 2024 — Present

  • Built LLM integrations that cut the manual work of synthesizing sustainability reports — what used to take days now takes minutes, without sacrificing accuracy
  • Wrote product requirements in plain language and used them to generate production-ready React components directly, cutting the gap between spec and code
  • Replaced a static roadmap with one that updates based on what users are actually doing and where the market is moving
  • Ran a global early adopter program and used that feedback to drive real feature decisions, not just collect responses
  • Rebuilt the data validation layer with AI-powered rules that catch problems automatically instead of waiting for someone to notice them
  • Set up product metrics from scratch — engagement, task completion, adoption — and tied roadmap decisions back to them
Significant ↓
Reduction in manual processing via LLM automation
Measurable ↑
Improvement in data quality via AI validation
Global Scale
Early adopter program spanning multiple continents
Proven ↑
User satisfaction via structured feedback loops

Algoworks · New York, NY

Project Manager / Business Analyst

December 2021 — July 2024

  • Ran large digital transformation projects end to end — kept them on time, on budget, and actually delivered
  • Worked daily across design, engineering, and business teams, usually as the person translating between all three
  • Managed senior stakeholder relationships at large enterprise clients through the full project lifecycle

Personal Advocacy · T1D Community

Time In Range Project

Ongoing

  • Got diagnosed with Type 1 Diabetes — started building tools I actually wanted to exist for myself and others in the same position
  • Betawise is the product coming out of this work: a smarter way to understand and act on CGM data

Projects & Initiatives

Work that matters

🩸

Time In Range Project

Built out of a T1D diagnosis. CGM devices produce a flood of glucose data every day — this project is about making that data actually useful. The product coming out of it is called Betawise.

View Project →
🤖

UN Sustainability LLM Pipeline

Built an LLM pipeline at the UN Global Compact that handles the synthesis of sustainability reports from hundreds of member organizations — the kind of work that used to require a team.

LLM · React · Product
📊

Living AI Roadmap System

Moved the product team off a quarterly planning doc and onto a roadmap that updates based on what users are actually doing. Less guessing, faster pivots, better features.

AI Strategy · Roadmapping
Personal Advocacy
"Getting diagnosed with T1D changed what I thought products were actually for."

I have Type 1 Diabetes. That means I'm looking at glucose readings all day, adjusting on the fly, and trying to make sense of data that never really stops coming. Most of the tools built for this are clinical interfaces designed for doctors, not for people trying to live their lives.

That's what the Time In Range Project is about — and why I'm building Betawise. Not an abstract mission statement, just a real problem I deal with every day, and a skill set that's useful for solving it.

Explore the Project →

Why Time In Range Matters

Target TIR (70–180 mg/dL)

70%

Avg. Person With Diabetes Today

55%

Complication Risk ↓ per +5% TIR

22%

Betawise

The product coming out of the Time In Range Project — built to help people with T1D actually understand what their CGM data is telling them.

Contact

Let's build
something great

Open to senior product roles — especially where AI, real data, and outcomes that actually matter come together. Happy to talk.

✉ Email ↗ LinkedIn (201) 819-0488 ↓ Resume