Hi, I'm Jonathan.
I'm a Manager in Technology & Transformation at PwC in New York. I help large organizations adopt AI and enterprise platforms, and I focus on making them simple for the people who use them every day.
Over five years I've worked on AI, platform and data programs for Fortune 500 and Fortune 10 companies. My background is industrial and operations engineering at Michigan, so I look at how work actually flows before deciding what to build.
I do my best work where the problem is messy. I find out what's really in people's way, shape the fix with them and see it through. Now I'm moving into product management full time, focused on AI and platform products.
From cutovers to products
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Until 2021
Learning how systems work
I studied industrial and operations engineering at the University of Michigan. It taught me to map how work actually flows before trying to improve it.
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2021–23
Seeing how enterprise systems break
I joined PwC's SAP practice and started where things get real: data migrations and go-lives. On one cutover I helped move maintenance data for 457 renewable energy sites at 100% accuracy and drove 1,110 defects to closure with a 200+ person team. That's where you learn what people actually need from software.
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2023–24
Spotting the problem nobody asked about
While retiring a biopharma company's data warehouse, I noticed every downstream system was hammering the HR system. I designed a data hub to fix it and pitched it to the client's leadership. It grew into $660K of follow-on work. I was covering two Manager-level roles at the time. Read the case →
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2024–25
Building AI tools people actually use
In 2024 I asked for ChatGPT pilot access for our team, then got picked from about 12 Solution Managers to lead AI. I ran discovery, built four GenAI tools and iterated them with the team until every Solution Manager used them. One cut a day of bio writing to 15 minutes. Read the case →
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2025
Turning around a late program
I joined a manufacturing program that was six months behind and built a Python model that showed where capacity was really going. It became the live replan, the program went live, and the client's CIO asked for me to stay. Read the case →
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2026–now
Owning the experience for 30,000 people
As a Manager, I lead a 14-person UX team building a utility's new employee platform. I decide what's on the homepage, how people find their apps and what the AI assistant does at launch. Read the case →
Problem first, adoption last
- Find the real problem
Ask the people doing the work what's in their way before deciding what to build.
- Shape it with users
Prototype fast and iterate with the people who'll use it, not just the people who'll approve it.
- Win the decision
Turn competing opinions into a clear decision backlog, and put the tradeoffs on the table.
- Drive adoption
A shipped tool nobody uses is a cost. I measure success by who's still using it.
- 2026 – nowManagerPwC, Technology & Transformation
- 2024 – 2026Senior AssociatePwC, SAP Technology
- 2021 – 2024AssociatePwC, SAP Technology
- 2021BSE, Industrial & Operations EngineeringUniversity of Michigan
SAP BTP Integration Suite · Alteryx Designer Core · Six Sigma Green Belt · PwC Human-Centered Design
Let's talk.
If you're building AI or platform products, I'd like to hear about it.