Problem → system → impact

What changed because I built it.

These examples focus on the operating problem, design decision, and measurable result — not just the artifact.

Data & reporting

Talent / program data hub

40–60 hrs

of recurring manual reporting removed per quarter

Problem

Program and organizational information lived across disconnected sources, forcing recurring manual aggregation and slowing decision-making.

System

Designed a multi-source reporting model and leadership dashboard that standardized inputs, centralized visibility, and made recurring reporting self-service.

Why it mattered

The team spent less time reconciling data and more time using it. The system also created a repeatable operating model instead of another one-off report.

AI automation

Intake & triage workflow

30%

reduction in manual triage effort

Problem

High-volume requests required repetitive reading, categorization, prioritization, and routing before meaningful work could even begin.

System

Designed an AI-assisted intake workflow to classify incoming requests, identify priority signals, and route work into clearer next steps with human oversight.

Why it mattered

AI was used where it created leverage — repetitive classification — while humans retained responsibility for judgment and action.

Program operations

Enterprise onboarding at scale

550

new hires supported in a quarter through a flagship program

Problem

A large, recurring onboarding experience required strong orchestration across content, partners, logistics, communication, and stakeholder expectations.

System

Built a repeatable operating cadence, ownership model, run-of-show structure, decision points, partner coordination, and continuous-improvement loop.

Why it mattered

The result was not just an event. It was an operating system that could scale with volume while preserving consistency and clarity.

Commercial operations

Vendor cost optimization

20%

savings achieved on six-figure vendor work

Problem

Vendor scope and cost needed to be challenged without degrading the outcome or creating avoidable delivery risk.

Approach

Reframed requirements, separated must-haves from nice-to-haves, used tradeoffs deliberately, and negotiated against the value and constraints of the work.

Why it mattered

Good project management is not administration. It is active constraint management across time, money, scope, quality, and stakeholder expectations.