Description
A competency-based framework for leading complex engineering projects
Engineering projects require leadership that integrates technical depth with strategic management. This handbook provides a structured, competency-based framework designed specifically for high-pressure technical environments. Unlike traditional textbooks, this guide offers a non-sequential model for practitioners to find immediate, actionable answers to complex challenges.
It bridges the gap between standards and implementation, focusing on the core competencies essential for project success—from Project Controls to Knowledge Management. Whether you are an engineer transitioning into management or a veteran lead, this resource provides the technical specifics and leadership strategies needed to deliver value, manage high uncertainty, and align project outcomes with global strategic organizational goals. It is the essential reference for those seeking to enhance professional skills in a knowledge-intensive landscape.
Readers will also find:
- Practitioner-Focused Design: Jump directly to the competency you need; every chapter is self-contained with curated reading lists for deeper study
- Integrated AI Guidance: Navigate the impact of artificial intelligence, IoT, and blockchain woven throughout the project lifecycle—grounded in engineering practice
- Engineering-Specific Mastery: Focus on Intellectual Property, Configuration Management, and Value Engineering—critical competencies often missing from generic project management frameworks
- 130+ Years of Collective Expertise: Leverage actionable strategies validated by a globally diverse editorial team and over 30 subject matter experts
Designed for engineering project managers and technical leads, this handbook connects competency-based frameworks with actionable strategies. It equips professionals to lead multidisciplinary teams through complex lifecycles while navigating the legal, ethical, and technological shifts reshaping the global landscape of modern engineering projects.
Table of Contents
List of Figures
List of Tables
List of Contributors
About the Authors and Editors
Preface
Acknowledgments
Chapter 1 Introduction
Chapter 2 Life Cycle Models and Tailoring
Chapter 3 Project Controls
Chapter 4 Financial Management
Chapter 5 Requirements Management
Chapter 6 Value Engineering
Chapter 7 Risk and Safety Management
Chapter 8 Leadership
Chapter 9 Communications
Chapter 10 Configuration Management
Chapter 11 Resource Management
Chapter 12 Quality Management
Chapter 13 Ethics and Professional Responsibility
Chapter 14 Regulatory Responsibility and Intellectual Property Management
Chapter 15 Knowledge Management
Appendix A - Summary of Generative Artificial Intelligence Sections
Appendix B - Summary of Case Studies and Practical Applications
Appendix C - Summary of Global Considerations
Index
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