Program leadership • enterprise transformation • AI-era execution

Turning ambiguity into aligned execution.

I help teams create clarity, align around outcomes, and move meaningful work forward—especially when the stakes are high, the incentives are messy, and the room needs more signal than theater.

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Selected work

Strategy is nice. Momentum is nicer.

A couple examples of how I approach messy, high-stakes work—where the real problem usually isn’t what it first appears to be.

Case study

From Activity to Actual Progress

I stepped into a large internal initiative where everything looked busy—roughly ten parallel workstreams—but very little of substance was actually getting delivered.

Reframed the problem from “execution” to alignment and prioritization
Introduced a lightweight PI-style planning model with real commitment
Aligned business and engineering around shared outcomes and tradeoffs

We delivered every prioritized item for the quarter and, more importantly, shifted how the broader organization approached planning and execution.

Case study

Turning Fragmentation into Forward Motion

On a complex Adobe Commerce deployment, the real issue wasn’t technical—it was coordination. Multiple teams, unclear ownership, and growing burnout were killing momentum.

Redesigned team structure into paired BC/TC pods with offshore ownership
Created clear accountability from discovery through delivery
Established shared visibility across solutions and teams

We moved from stalled progress to consistent delivery of features and integrations—often ahead of a parallel agency—and turned a fragmented group into a cohesive team.

Perspective

How I Think About Delivery

Most delivery problems aren’t execution problems—they’re system problems in disguise.

Clarity beats activity
Alignment beats speed
Good systems make good outcomes more likely

My job isn’t to push teams harder—it’s to create the conditions where meaningful progress becomes the default.

How I think

Less theater. Better systems.

My bias is toward clarity, humane leadership, and operating models that create better conditions for good work instead of pretending effort alone is the answer.

Installing a process is not the same as driving change.

Most execution problems are actually alignment problems in a clever disguise.

AI should handle more of the rigor so humans can bring more judgment, creativity, and empathy.

Better outcomes come from better conditions, not louder pressure.

About

A builder of clarity, momentum, and better ways of working.

I’m a program leader based near Detroit with a background in enterprise transformation, MarTech, and cross-functional execution. Most of my work lives at the intersection of people, platforms, and practical reality.

I’m especially energized by ambiguous environments—places where the work matters, the constraints are real, and success depends on more than just following a template. That usually means aligning teams, untangling incentives, building trust, and creating a path forward people can actually believe in.

At my best, I bring calm, clarity, and momentum to messy situations. I like building systems that make good work more likely—without sanding off the human part in the process.

Ryan Yepsen smiling at a restaurant patio

A little more human

Thoughtful at work. Fully a person off the clock.

I care a lot about good work, but I’m not especially interested in performing corporate robot energy. I like honest conversation, thoughtful systems, coffee, music, and spaces that feel like someone designed them on purpose.

The throughline is the same on either side of the laptop: create better conditions, bring a little more clarity, and make things feel more real, useful, and alive.

Contact

Interested in working together—or just comparing notes?

I’m always up for a smart conversation about leadership, transformation, AI, digital experience, or making complex work slightly less ridiculous.

Email me LinkedIn