Course Name

Organizational Project Management Maturity Model (OPM3)

Schedule

November 02, 2026 - November 20, 2026

3 weeks self-paced learning 
Live via Zoom: November 6, 13 & 20 
Fridays, 1:00 pm – 3:00 pm

Regular Rate:

Php 16,000

Early Eagle Rate:

Php 14,850

Valid Until:

October 19, 2026

Organizational Project Management Maturity Model (OPM3)

Description

While cultures and structures may influence the success rate of initiatives, the level of adoption and maturity of the organization's project management influences how these initiatives are run and are conducted. We must understand that the success of projects is reliant not solely on the skills and capabilities of the working project managers, but is also dependent on the environment where the projects are being executed, that is the organization. 

Learn about levels of organizational maturity, see how you can take your organization to the next level, and improve the way your organization can execute initiatives.

Who should attend

This program is best suited for:

  • Project Managers

  • Project sponsors

  • Program manager

  • Product owner

  • Product developers

  • Anyone who would like to advance their organization’s project execution

After the course, you will:

  1. Learn the different levels of project management maturity in organizations.

  2. Determine current organization's project management maturity level.

  3. Identify areas and steps to increase organization's capability on project management.

Week 1: Significance of PM in Organizations & Organizational PM Capability

• Welcome to OPM3
• Outline of OPM3
• Key Dysfunctions of a Project
• Articles and Statistics on Project Management
• Narrowing the Variance
• Adapting to Change
• Importance of Project Management Standards
• Origin of OPM3 
• Benefits of OPM3
• Some Terms and Concepts

Week 2: Management by Projects & Framework

• Intro to Management by Projects
Operational and Project Work
• 5 Process Groups of Project Management
• The Project Life Cycle
• Project Success and Performance
• SMCI (Standardized and Measured Capabilities)
• SMCI (Controlled and Improving Capabilities)
• SMCI Application (Project Domain)
• SMCI Application (Program and Portfolio Domain)

Week 3: Framework Deep Dive & Implementing OPM3

• Implementation and Execution of Strategy and SMCI Recap
• Drivers of OPM3 Application and Intro to Best Practice
• Components of Best Practice
• Capability and Outcome
• OPM3 Architecture
• OPM3 Framework Recap and Subdomains
• Performing Assessments
• Steps in Implementing OPM3
• Self-Assessment Case Study

Dr. Mario Domingo operates at the intersection of applied AI research, venture-building, executive accountability at national-platform scale, and academic formation in leadership and ethics. He currently serves as Regional Chief Technology Officer of CeQureX. Alongside this role, he holds a portfolio of advisory mandates positioned for the AI-driven transformation now reshaping enterprise, finance, and the public sector: fractional Chief Transformation and Technology Adviser to a major Philippine higher education system, a telecommunications subsidiary, and to a Philippine bank; technology adviser to the Philippine defense establishment on sovereign network architecture; and adviser on AI to senior leadership across multiple organizations. 

His prior executive lineage includes service as Chief Technology Officer and CEO Officer-in-Charge of UBX through November 2025, an early Philippine institutional venture in blockchain and digital finance. Earlier in his career, he architected high-performance computing systems in production at the Cboe/Chi-X global exchanges: market infrastructure where correctness, latency, and trust at machine speed are non-negotiable. 

He founded the Domingo AI Research Center (DARC Labs) in 2016, with work in medical imaging and cancer diagnostics, and co-founded DANATEQ Pte Ltd. in Singapore in 2010, focused on probabilistic AI for telecommunications infrastructure. 

He holds a PhD in Leadership from Ateneo de Manila University (Critical Realism; Virtue Ethics, Deontology, Utilitarianism) and undertook post-graduate study in AI at MIT CSAIL.

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