CGI
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CGI Career Growth & Development
This page was generated by Built In using publicly available information and AI-based analysis of common questions about the company. It has not been reviewed or approved by the company.
What's career growth & development like at CGI?
Strengths in training access, mobility, and leadership development are accompanied by variability in advancement clarity, project challenge level, and time for learning under utilization pressures. Together, these dynamics suggest CGI can be a strong growth platform when paired with supportive leadership and well-scoped engagements, but outcomes depend on business unit, account context, and proactive navigation.
Positive Themes About CGI
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Training & Education Access: Extensive internal platforms like CGI Academia, certification support, and structured curricula enable continuous upskilling across technology and leadership. Feedback suggests these resources include adaptive learning paths, digital badges, and funded certifications that accelerate competency building.
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Internal Mobility: Rotations, internal marketplaces, and the breadth of accounts make it feasible to move across projects, roles, industries, and even geographies. Feedback suggests this mobility enables nonlinear growth when paired with proactive opportunity seeking and manager support.
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Leadership Development: Formal programs through the CGI Leadership Institute and project manager career paths provide defined avenues to build managerial and delivery leadership skills. Mentorship and coaching are highlighted as accessible mechanisms to develop influence and stakeholder management.
Considerations About CGI
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Unclear Advancement: Promotion pace and clarity vary by business unit and local leadership, with some describing slow or difficult paths and flat structures that can limit momentum. Advancement often depends on documenting impact, internal networking, and available roles rather than a consistent timeline.
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Unchallenging Work: Landing on long‑term maintenance or narrowly scoped roles can stall learning and reduce exposure to new tech compared with greenfield or transformation work. Stable managed‑services and long‑running accounts may favor depth over experimentation.
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Insufficient Resources: Utilization and billable targets can crowd out study time, making certifications or pivots difficult without explicit manager buy‑in. Feedback suggests accessing learning during heavy delivery cycles requires negotiation and persistence.
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