Manager cultivating transformational donors for MS Canada, which supports people affected by multiple sclerosis. Building major - gift portfolios and philanthropic relationships across Canada.
About the role
- Senior Manager building CAE’s global Safety & Quality intelligence capability for simulation, training, and mission readiness operations. Leading analytics governance, executive reporting, and AI-enabled platform development.
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.
Requirements
- 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.
- 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.
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