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Enterprise platforms · Workflow automation · Applied AI

I build and scale products for clearer decisions and reliable execution.

I lead enterprise platforms, automate complex workflows and build evidence-grounded AI systems.

Explore the interactive workAsk a question or explore the delivery model.
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Production workflowSELECTED WORK / 01

One platform.
Room for different teams.

A common orchestration model that preserves team-specific workflows.

Multiple teams migratedControlled migration and adoption

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10+ years

Product, platform and analytics experience

HCA Healthcare · Nike · Polaris

Product, platform and analytics roles across three organizations

Up to 10 direct reports

Plus matrix leadership across up to 20 contributors

Experience and leadership scope across roles.

Three flagship stories

The decisions behind the work.

I decide what teams should share, carry automated work to its outcome and focus investigation where it can make a difference.

ReviewCoordinatorSpecialty
Shared controls

Keep the foundation common.
Make the workflow specific.

01Platform strategy

One foundation. Different workflows.

I chose a reusable orchestration model and led controlled migration while preserving the behaviors each team needed.

Multiple teams migratedProduction workflow transformation
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Event received
AcknowledgedResolved

Track delivery.
Follow the work to completion.

02Workflow automation

A successful API call is one checkpoint.

I joined API and staff actions in one state model, with acknowledgement, recovery and a visible path to the final outcome.

Estimated 5,000+ hours annuallyPayer-response automation workstream
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Server impactUser behaviorRelease scope

Focus the investigation.
Protect the user’s task.

03Applied AI

Find the query that matters.

I focused a long-running investigation on the highest-impact queries, challenged unnecessary joins and filters, and balanced immediate hotfixes with the longer-term goal.

74.9% lower average request timeUAT team result · 1,000 virtual users
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How the work connects

The setting changes.
The judgment carries forward.

I make the choices underneath the interface explicit: what teams should share, which work comes first, who owns the next action and what evidence supports a decision. That connects my enterprise product leadership to the AI systems and new products I’m building.

Experience & leadership

Clear ownership.
Stronger teams.

These choices depend on people who can carry the work. I make priorities and ownership clear, and coach contributors through problem framing, UAT and release preparation.

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Up to 10

Formal direct reports

Goals, feedback, quarterly reviews, development and performance management.

Up to 20

Matrix contributors

Cross-functional leadership across product delivery, UX, QA, data and engineering.

3

Junior Product Owners hired

Owned end-to-end hiring and onboarding.

15

Employees coached

Structured support across product delivery, UAT and KPI development.

People leadership across roles, including formal management and cross-functional delivery.

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Interactive work

Ask a question.
Follow a decision.

I bring the same questions about useful evidence and accountable decisions into independently built AI systems and the private MIN–MAX prototype.

The delivery model and reviewed Evidence Guide run here.

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Writing

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The next conversation

Building an enterprise
or AI-enabled product?

I’m interested in senior and lead product roles where complex workflows, thoughtful automation and accountable delivery matter.

Discuss a leadership role View résumé Based in Nashville, Tennessee