Job Overview Leverage expertise in project controls and lessons learned processes to capture and document lessons learned from project experiences ensuring that valuable insights are retained and shared across the organization.

To provide guidance and support to project teams on project controls and lessons learned processes ensuring they are equipped to deliver complex project successfully.

To facilitate knowledge sharing across the org, ensuring that lessons learned are shared and applied to future projects and that the best practices are identified and implemented.

To analyze project performance data and report on key metrics, including schedule, cost, risk and resource allocation to identify areas of improvement and inform future project planning.

To develop and maintain Lessons Learned tools and templated to ensure that project teams have the necessary resources to deliver complex projects successfully.

To facilitate Lessons Learned workshops and learning sessions.

Qualifications Requirement: 4-year university degree PMP is an asset Strong understanding of project controls principles and Lessons Learned process Excellent communication and interpersonal skills Experience: Solid understanding of project controls principles, including scheduling, cost management,



risk management and resource allocation Experience with Six Sigma/Kaizen/Lean Practices/Running Workshops Power Bl, MS Office, Experience with building and analyzing dashboards Facilitate projectcontrolsdriven lesson learned workshops, extract and validate relevant insights from organizational systems for application across active projects and lead collaborative initiatives to enhance the overall project controls program while working closely with crossfunctional teams.

Strong problem solving and analytical skills CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency.

These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback. AI-generated outputs are intended to supplement, not replace, human judgment.

All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights. CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations.

The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.

📌 OPEN: Lessons Learned Specialist (Courtice)
🏢 CPUS Engineering Staffing Solutions
📍 Courtice