IBM
Technical relationship management and service delivery supporting American Express.
About Jennifer
Careful delivery, without enterprise complexity.
I spent twenty years delivering technology and operational change. Now I bring that discipline directly to small businesses—personally, practically, and one workflow at a time.
Why the background matters
Reliable rollout is mostly about the work around the technology.
Small businesses do not need big-company process for its own sake. They do benefit from clear ownership, careful testing, useful documentation, and training that matches the way people actually work.
That is what keeps a good demonstration from becoming another subscription nobody uses.
I stay close to the work: understand the current process, build with representative examples, define what stays human, test the awkward cases, and hand over something your team can explain.
Twenty years, in brief
Technology delivery across complex organizations.
American Express
Portfolio and program leadership, including delivery-method change across technology teams.
MUFG
Technical operations leadership supporting the build and launch of a new online bank.
Cox Automotive
Solution delivery leadership for automotive software teams.
BILL
Principal program leadership coordinating workstreams for a major product launch following an acquisition.
Swire Coca-Cola
Enterprise technology delivery and operational change for a Utah-based operating business.
JenniRay Consulting
Founder-led AI implementation for small Utah service businesses.
Education
A technical foundation, translated into plain language.
MS, Computer Information SystemsUniversity of Phoenix
BS, Information Systems & TechnologyWeber State University
Two related businesses
Consulting here. Education at JenniRay.ai.
JenniRay Consulting is for hands-on workflow implementation. JenniRay.ai is the separate AI education business for courses, training, and The Voice newsletter.
Both are led by Jennifer and share a plainspoken, human-centered approach.
Visit the education site →The working principle
Understand the work. Build carefully. Train the people using it. Stay until it works.
This is an operating principle—not a performance claim. The engagement scope, handoff, and success measure are agreed in writing before implementation.
Have one problem in mind?
Tell me where the work gets stuck. I’ll tell you whether I think AI is a sensible next step.
Book a fit call