Teach participants the advanced processes required for managing multiple projects simultaneously.
Equip participants to prioritize project objectives and maximize portfolio value.
Provide tools for implementing and leveraging Value Engineering in a multi-project environment.
Build skills to create and monitor program-level KPIs and performance evaluation systems.
Develop participant capabilities in using data analytics and AI for proactive decision-making.
Prepare participants to establish SOPs and knowledge systems to enhance program management efficiency.
Who Should Attend?
This Training Workshop is intended for Professionals Seeking High Level Expertise in Program Management Processes and Including Project Managers, Project Professionals, Project Coordinators and Program or Portfolio Managers.
This Job Process Competency program will be very useful for Professionals and Teams assigned responsibility for Identifying and Implementing Project Management Processes Strategic Plans and Improvements.
Program Content
Processes & Modules
Program Manager Processes (Multi-Project Managers)
Differences between project management and program management.
Challenges of managing multiple projects and shared resources.
Importance of aligning program-level objectives with organizational goals.
Overview of Value Engineering and its role in portfolio optimization.
Strategy Processes
Establishing program goals aligned with strategic organizational objectives.
Creating a strategic framework for prioritizing projects within a portfolio.
Defining success metrics at the program level (e.g., value creation, ROI).
Planning Processes
Developing integrated project plans that account for shared resource allocation.
Designing risk management and contingency plans across multiple projects.
Incorporating Value Engineering opportunities into program planning processes.
Operational Processes
Resource Management
Allocating resources (time, labor, budget) efficiently across projects.
Resolving resource conflicts and optimizing utilization.
Monitoring and Control
Tracking project performance against program-level KPIs.
Adjusting project timelines and objectives to ensure portfolio-level success.
Value Engineering Implementation
Identifying value opportunities across projects to maximize benefits.
Collaborating with project teams to ensure VE recommendations are executed effectively.
Performance Evaluation Processes
Establishing KPIs to measure program performance (e.g., cost savings, resource efficiency, value generation).
Conducting regular program reviews to evaluate progress and outcomes.
Comparing program results to industry benchmarks and best practices.
Data Analytics Processes
Using analytics to create real-time multi-project dashboards for progress tracking.
Employing predictive models to forecast risks and resource bottlenecks.
Identifying performance trends and opportunities for improvement.
Risk Management Processes
Consolidating risk management efforts across projects to create a unified risk mitigation strategy.
Monitoring high-impact risks that could affect multiple projects simultaneously.
Implementing contingency plans proactively at the program level.
Quality Assurance Processes
Ensuring program outcomes meet organizational quality standards.
Verifying consistency in processes and deliverables across all projects.
Contingency Management Processes
Developing adaptive strategies to respond to unforeseen changes at the program level.
Prioritizing critical projects during crises to protect overall portfolio value.
Improvement and Lessons Learned Processes
Capturing lessons from program successes and challenges to refine processes.
Sharing knowledge across teams to improve future program management efforts.
Building Process Knowledge and Updating SOPs
Documenting and updating standard operating procedures for program management.
Developing a centralized knowledge system to support program managers and teams.
Reporting Processes
Generating program-level reports that consolidate insights from individual projects.
Providing stakeholders with transparent updates on program progress and value creation.
AI Leveraging Processes
Using AI to optimize resource allocation and scheduling across projects.
Implementing machine learning to detect risks and recommend corrective actions.
Automating program monitoring and generating actionable insights for decision-making.
Human Resource Development Processes
Training project managers to transition into program management roles.
Establishing mentorship programs to develop program management competencies.
Promoting cross-functional collaboration and leadership skills among team members.