PMO Transformation
Building a Program Management Office from zero into a revenue-generating function.
Executive Summary
Stood up a scalable PMO where none existed, standardized delivery across Professional Services, improved consultant utilization by more than 15%, eliminated a $200K operating deficit, and grew services revenue past $500K in the first 8 months and projected $1.2M in the first full year.
Business Challenge
Professional Services was running as a cost center with inconsistent delivery, unclear governance, and a growing operating deficit. Executives needed Services to become a durable, profitable line of business.
Constraints
- —No existing PMO framework to inherit
- —Existing team accustomed to ad-hoc delivery
- —Deficit already visible on the P&L
- —Change had to happen without disrupting active customer engagements
My Role
Director of the PMO. Owned strategy, standards, staffing, tooling, and the Services P&L.
Leadership Decisions
Standardized intake, staffing, and delivery cadence before layering in tools people would inevitably work around.
Improved utilization by fixing scoping and staffing — not by pressuring consultants.
Reframed the org around margin and outcomes instead of hours delivered.
Solution
A standardized PMO with intake, chartering, delivery cadence, executive reporting, and a re-shaped services offering.
Architecture
- —Delivery methodology tuned per engagement type
- —Jira + Smartsheet + Microsoft Project as the working stack
- —Power BI executive dashboards for utilization, margin, and forecast
Business Outcomes
- ✓PMO built from zero and operational within the first year
- ✓Consultant utilization improved by more than 15%
- ✓$200K operating deficit eliminated; Services returned to profitability
- ✓Services revenue grown past $500K in the first 8 months and projected $1.2M in the first full year
Lessons Learned
- —Operating models beat frameworks — pick the one your team will actually use
- —The P&L is a leadership tool, not just a finance artifact
- —You can raise utilization by improving scoping long before you touch staffing
What's Next
- →Blueprint the model for other services organizations
- →Extend AI-assisted analysis into pipeline forecasting and staffing