Senior Manager, Safety & Quality Intelligence

Socket.dev; Montreal (administrative region); Hybrid; CAD 150,000 - 190,000; Full time

Benefits offered by this job

Comprehensive group insurance

Telemedicine services

Employee Assistance Program (EAP)

Employee Stock Purchase Plan (ESPP)

Group RRSP

Defined benefit pension plan

Sabbatical leave opportunities

Enhanced parental leave

Job summary

CAE seeks an experienced leader to establish and head the Safety & Quality Intelligence capability. This role will transform fragmented Safety and Quality data into actionable intelligence that supports decision-making, risk management, operational excellence, and regulatory confidence.

You will consolidate analytics across Operations and Global units, establishing enterprise-wide metrics, reporting frameworks, and help shape the Global Safety & Quality Intelligence Platform, leveraging

Qualifications

• Bachelor's degree in a data-related field or engineering, aviation management, or business administration.
• 8+ years in analytics, data governance, intelligence, quality or safety management.
• Proven experience leading analytics across multiple units or environments.
• Experience establishing KPI frameworks, reporting standards, metrics, taxonomies, and dashboards.

Responsibilities

• Lead consolidation and standardization of Safety & Quality analytics across CAE.
• Govern a robust Safety & Quality data framework to improve decision-making.
• Define enterprise-wide metrics, KPIs, reporting standards, and data taxonomies.
• Develop executive dashboards, risk intelligence, and performance insights for governance.
• Partner with governance functions to build the Global Safety & Quality Intelligence Platform.
• Define requirements for predictive analytics, automation, and AI-enabled capabilities.
• Lead and develop a team of analytics professionals.
• Collaborate with leaders across Global Safety, Operations, Manufacturing, and Civil/Defense units.

Skills

Leadership

Analytics

Data governance

Executive communication

Stakeholder influence

Change management

Problem solving

Education

Bachelor's degree in Data Analytics / Data Science / Business Intelligence / related field

Tools

Power BI

Job description

• The role can be located in Montreal, Canada, or in any relevant location within Europe.

We are seeking an experienced and forward-thinking leader to establish and lead CAE's Safety & Quality Intelligence capability. This role will transform fragmented Safety and Quality data into actionable intelligence that supports decision-making, risk management, operational excellence, and regulatory confidence.

Working across Operations and the Civil and Defense & Security business units, the successful candidate will lead the consolidation and standardization of Safety and Quality analytics, establish enterprise-wide metrics and reporting frameworks, and help shape the future Global Safety & Quality Intelligence Platform.

The ideal candidate combines strategic leadership with strong analytical expertise and is comfortable engaging with senior executives while building foundational processes and capabilities. This is a unique opportunity to influence how CAE leverages analytics, automation, and artificial intelligence to strengthen governance, improve performance, and foster a proactive, data-driven Safety & Quality culture.

Key Responsibilities

• Lead the consolidation and standardization of Safety & Quality analytics across CAE.


• Establish and govern a robust Safety & Quality data framework to improve consistency, reliability, and decision-making.


• Define enterprise-wide metrics, KPIs, reporting standards, and data taxonomies.


• Develop executive dashboards, risk intelligence, and performance insights to support global Safety & Quality governance.


• Partner with the Safety & Quality Systems Governance function to develop the Global Safety & Quality Intelligence Platform, ensuring technology solutions align with business objectives.


• Define requirements for predictive analytics, automation, and AI-enabled capabilities within the platform.


• Lead and develop a team of analytics and intelligence professionals.


• Collaborate with leaders across Global Safety, Global Operational Governance, Operations, Manufacturing, and the Civil and Defense & Security business units.

Minimum Qualifications

• Bachelor's degree in Data Analytics, Data Science, Business Intelligence, Information Systems, Quality Management, Engineering, Aviation Management, Business Administration, or a related field.


• Minimum of 8 years of experience in analytics, data governance, intelligence, quality management, safety management, compliance monitoring, or continuous improvement.


• Demonstrated experience leading analytics, reporting, or intelligence initiatives across multiple business units or operational environments.


• Proven experience establishing and managing KPI frameworks, reporting standards, metrics, taxonomies, and dashboard structures.

Preferred Qualifications

• Experience with business intelligence and data visualization tools such as Power BI or equivalent platforms.


• Strong understanding of data governance, data quality, and reporting best practices.


• Experience working within regulated environments, preferably in aerospace, engineering, manufacturing, safety, quality, or compliance-related functions.


• Proven ability to influence stakeholders and lead change in a global, matrixed organization.


• Excellent communication and presentation skills, with the ability to translate complex data into actionable business insights.


• Demonstrated experience leading and developing professional teams.


• Professional certifications in analytics, data management, quality, safety, auditing, project management, AI, or business intelligence.


• Experience standardizing analytics across multiple systems, business units, or geographic regions.


• Knowledge of aviation safety, quality assurance, compliance monitoring, Quality Management Systems (QMS), Safety Management Systems (SMS), and regulatory oversight frameworks.


• Experience supporting transformation initiatives involving systems consolidation, governance modernization, or organizational change.


• Working knowledge of predictive analytics, machine learning, AI-enabled decision support, anomaly detection, model governance, and AI engineering methodologies.


• Familiarity with enterprise digital tools and technology platforms.


• Experience delivering executive-level analytics, performance insights, and governance reporting.


• Experience defining business requirements and partnering with Digital, IT, and governance teams to develop technology solutions.


• Passion for building data-driven cultures that enhance safety, quality, operational performance, regulatory confidence, and business outcomes.

Benefits

• Comprehensive group insurance.


• Telemedicine services.


• Employee Assistance Program (EAP).


• Employee Stock Purchase Plan (ESPP).


• Group RRSP.


• Defined benefit pension plan.


• Sabbatical leave opportunities.


• Enhanced parental leave.

About CAE

At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we've driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.

Position Type

Regular

Equal Opportunity & Accommodations

CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available—contact your recruiter or email [e-mail] if needed.

Data Privacy

Privacy Statement | CAE

As part of our process, we may use AI‑supported tools to help review applications, with human decision‑making at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.