Your professional transformation starts here
Are you full of great ideas? Do you dream of building a greener future as part of a company that values your skills and opinions? Are you looking for a flexible employer that will give you the opportunity to grow within the company?
This job is for you!
Position Summary
The Director of Data Analytics, Enterprise Architecture & AI is a strategic and operational technical leader responsible for defining the vision and driving delivery across data, analytics, architecture, and artificial intelligence. This role combines leadership with hands-on expertise: transforming business needs into concrete solutions (architectures, data platforms, analytics products, AI workflows) and ensuring measurable outcomes.
You will be at the center of a transformation mandate aimed at modernizing the technology architecture, strengthening governance, implementing robust practices, and maximizing the value of IT investments. The position involves creating standards, mentoring teams, and implementing agile processes for reliable and scalable deliveries.
Our Benefits
Competitive salary and annual bonus
Group RRSP and comprehensive benefits program
Permanent, full-time position
Hybrid work arrangement
Full group insurance plan (dental, medical, life, disability, etc.)
Telemedicine and Employee Assistance Program
Paid sick days
Pension plan with employer contribution
On-site gym
Key Responsibilities
Strategy & Leadership:
Define the integrated Data/Architecture/AI vision and drive execution (roadmaps, KPIs, adoption).
Enterprise Architecture:
Create standards and integration patterns, rationalize systems, and lead performance-focused reviews.
Delivery & Governance:
Oversee delivery of data/analytics solutions using Agile/Data Ops methods, ensuring quality and compliance.
Data Platform & Engineering:
Deploy high-performing, automated data architectures (lake, warehouse, pipelines).
BI & AI:
Deliver reliable BI products, lead AI use cases from design to production, and ensure business value.
Mentorship & Culture:
Act as a “player-coach,” develop talent, and foster a results-driven culture.
Partnership:
Communicate progress with evidence (metrics, adoption) and strengthen data literacy.
Qualifications
Degree in Computer Science, Data Science, Engineering, Information Systems, or related field;
Master’s preferred.
10+ years of leadership experience in data, analytics, enterprise architecture, or AI, including at least 5 years in delivery or operations.
Proven experience in enterprise architecture, building data platforms, and implementing analytics solutions.
AI project delivery in a corporate environment (major asset).
Mastery of enterprise architecture frameworks and roadmaps.
Knowledge of modern data stacks (Azure Synapse, Databricks, Snowflake, Power BI, Tableau) and integration platforms.
Familiarity with data governance frameworks and Agile/Dev Ops models.
Strong skills in strategic planning, program management, delivery leadership, and stakeholder engagement.
Deep expertise in enterprise architecture, data engineering, and analytics.
Strong strategic planning and enterprise architecture capabilities.
In-depth understanding of data engineering, analytics, and emerging AI technologies.
Excellent leadership, communication, and stakeholder engagement skills.
Ability to balance innovation with operational discipline.
Cross-functional collaboration.
Data-driven decision-making.
Data governance and enterprise architecture.
Innovation mindset and technology awareness.
Give meaning to your career and help us make a difference: become a transformation champion!
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Thank you for your interest in joining our team. Please note that we will only contact those whose applications are being considered.
At Sanimax, we see strength in diversity, and we are proud to be an equal opportunity employer
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