OPEN: Lessons Learned Specialist

Cpus Engineering Staffing Solutions Inc.; Courtice; On-site; CAD 101,942 - 115,718; Full time

Job summary

Cpus Engineering Staffing Solutions Inc. is seeking a Lessons Learned Specialist in Courtice, Ontario. The role involves leveraging project controls expertise to document and share lessons learned across the organization, providing guidance on project processes, and analyzing project performance data.

Qualifications include a 4-year degree, PMP as a plus, and strong project controls knowledge. This position is 100% on-site, with an hourly pay range of $74 – $84.

Qualifications

• 4-year university degree required.
• PMP certification is an asset.
• Strong understanding of project controls principles.

Responsibilities

• Capture and document lessons learned from projects.
• Provide guidance on project controls processes.
• Analyze project performance data for key improvement metrics.

Skills

Project controls principles

Excellent communication skills

Interpersonal skills

Problem solving

Analytical skills

Education

4-year university degree

PMP

Tools

Power BI

MS Office

Job description

We are currently requesting resumes for the following position: Lessons Learned Specialist

Resume Due Date: Thursday, May 28th, 2026 (5:00PM EST)

Job ID: 26-058

Number of Vacancies: 1

Level: MP4

Duration: 12 Months

Hours of work: 35 hoursper week

Location: 1855 Energy Drive, Courtice

Work Mode: 100% on Site

Hourly Range: $74 – $84

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

• Strong 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 project‑controls‑driven 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 cross‑functional teams.
• Strong problem solving and analytical skills

Our client is dedicated to promoting employment equity and encourages applications from equity‑seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work environment and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our client’s long‑term strategy for equity, diversity, and inclusion.

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.