Head of BI & AI-Driven Analytics – Hybrid in Québec

Head of BI & AI-Driven Analytics – Hybrid in Québec

Québec Full-Time 108000 - 132000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead analytics initiatives and oversee data environments to drive performance management.
  • Company: Join iA Financial Group, a leader in financial services with a focus on innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on maturing analytics capabilities.
  • Why this job: Make a significant impact by guiding AI-driven analytics that shape executive decisions.
  • Qualifications: Experience in business intelligence, analytics, and team leadership required.

The predicted salary is between 108000 - 132000 $ per year.

i A Financial Group is seeking a Director of Business Intelligence and Advanced Analytics to lead the analytics function that drives performance management and executive decision-making.

You will oversee data environments, data products, KPIs, dashboards, and AI-powered analytics initiatives across the organization.

You will guide the team through governance, security, and lifecycle management while maturing analytics capabilities to diagnose, predict, and prescribe business actions.

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Head of BI & AI-Driven Analytics – Hybrid in Québec employer: ia

iA Financial Group is an exceptional employer that prioritizes employee experience and fosters a collaborative culture in the vibrant setting of Quebec. With a strong commitment to professional growth, employees benefit from innovative talent initiatives and a supportive hybrid work environment that encourages creativity and alignment with business goals. Join us to be part of a forward-thinking organization that values your contributions and invests in your future.

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Contact Details:

ia Recruitment Team

We think you need these skills to ace Head of BI & AI-Driven Analytics – Hybrid in Québec

Business Intelligence
Advanced Analytics
Performance Management
Data Governance
Data Security
Lifecycle Management
KPI Development