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5,529

Data Analysis jobs in Canada

AI Solution Architect

Diligent

Vancouver
Hybrid
CAD 115,000 - 160,000
23 days ago
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Community Health Nurse (N3)

Winnipeg Regional Health Authority

Winnipeg
On-site
CAD 30,000 - 60,000
23 days ago

Quality Management System - ISO2000/AS9100 Auditor (North York)

Morson Canada

Toronto
On-site
CAD 95,000 - 115,000
23 days ago

Strategic HRBP & Culture Champion for Growth

Nesto

Calgary
On-site
CAD 100,000 - 125,000
23 days ago

Administrative Secretary 2/ Secrétaire administrative-AY2

Winnipeg Regional Health Authority

Winnipeg
On-site
CAD 60,000 - 80,000
23 days ago
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Assistant Manager

Planet Fitness - United FP Management, LLC

Centreville-Wareham-Trinity
On-site
CAD 40,000 - 55,000
23 days ago

Immediately Looking For : Java Spring Developer : Montreal, Onsite

Triunity Software, Inc.

Montreal
On-site
CAD 85,000 - 110,000
23 days ago

Business Advisor

YWCA Hamilton

Hamilton
On-site
CAD 100,000 - 125,000
23 days ago
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Chef(fe), programme de soutien aux patients

Tevapharm

Montreal (administrative region)
Hybrid
CAD 80,000 - 100,000
23 days ago

Senior Consultant - Artificial Intelligence - NowAssist

Deloitte Canada

Toronto
Hybrid
CAD 80,000 - 138,000
23 days ago

Collections Supervisor

Vaco Recruiter Services

Markham
On-site
CAD 75,000 - 90,000
23 days ago

Senior Director, Pharmacy Operations

AmerisourceBergen

Oakville
On-site
CAD 100,000 - 130,000
23 days ago

AML/KYC Analyst — Hybrid, High-Volume Banking

INTELLISWIFT INC

Toronto
Hybrid
CAD 100,000 - 125,000
23 days ago

Manufacturing Excellence Manager / Directeur(rice) excellence opérationnelle

Barry Callebaut Manufacturing Iberica SA.

Sainte-Scholastique
On-site
CAD 90,000 - 120,000
23 days ago

Director, Strategic Initiatives and Marketing Planning

Scotiabank

Toronto
On-site
CAD 120,000 - 160,000
23 days ago

Health, Safety & Environment Advisor

Black & McDonald Limited

Pickering
On-site
CAD 70,000 - 90,000
23 days ago

Chief Law Librarian (Librarian III/IV; Permanent Status Stream)

University of Toronto

Toronto
On-site
CAD 108,000 - 128,000
23 days ago

Administrative Coordinator

FSRA News

Toronto
On-site
CAD 60,000 - 80,000
23 days ago

Manufacturing Excellence Manager / Directeur(rice) excellence opérationnelle

Barry Callebaut

Saint-Hyacinthe
On-site
CAD 90,000 - 120,000
23 days ago

Head of Data & Insights, Retirement Operations

Manulife

Montreal
Hybrid
CAD 105,000 - 191,000
23 days ago

Senior Manager, IB Financial Analysis

Scotiabank

Toronto
On-site
CAD 90,000 - 120,000
23 days ago

Associate Vice-President, Financial Services

Society for College and University Planning

Northeastern Ontario
Hybrid
CAD 95,000 - 125,000
23 days ago

Marketing Assistant Director - Industrials and Energy (18-month contract)

Ernst & Young Advisory Services Sdn Bhd

Toronto
Hybrid
CAD 92,000 - 154,000
23 days ago

First Nations/Inuit/Métis Candidates: Consultant, Nation Building Advisory

Deloitte Canada

Calgary
Hybrid
CAD 68,000 - 102,000
23 days ago

Senior Software Test Engineering – AVIP Diagnostics QA

General Motors

Markham
On-site
CAD 80,000 - 110,000
23 days ago

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AI Solution Architect
Diligent
Vancouver
Hybrid
CAD 115,000 - 160,000
Full time
23 days ago

Job summary

A prominent technology firm in Vancouver is looking for an AI Solutions Architect to join their innovative team. This role focuses on enhancing internal AI capabilities across various business functions, including Marketing and Finance. The ideal candidate will possess extensive experience in AI/ML technologies, be highly collaborative, and demonstrate strong data engineering skills. The position offers a flexible work environment with a pay range of $115,000 to $160,000 CAD annually.

Benefits

Comprehensive health benefits
Flexible work environment
Generous time off policy
Wellness programs

Qualifications

  • 5+ years in a technical role, building GenAI prototypes.
  • Ability to clean and transform data for AI experiments.
  • Experience with privacy and ethical guidelines in AI.

Responsibilities

  • Identify AI opportunities with business leaders.
  • Lead deployment of AI/GenAI solutions.
  • Develop strategies aligned with business goals.
  • Champion best practices in AI development.

Skills

AI/ML proficiency
Data engineering
Prompt engineering
Business acumen
Collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

GPTs
TensorFlow
PyTorch
AWS
GCP
Job description
Position Overview

Diligent is ‘All-In’ on AI and is seeking a dynamic and strategic AI leader to join our team as an AI Solutions Architect. As part of the Business Applications and Analytics team, this crucial role is designed to accelerate our Internal AI capabilities across multiple business functions, including Marketing, GTM/Sales, Customer Success & Support, Finance, HR, Legal, and Product and Engineering teams.

The primary goal of this position is to identify, prototype, deploy, and scale AI technologies and solutions that drive greater operational efficiency and effectiveness. The ideal candidate will be a technically adept individual with business acumen, able to bridge the gap between robust technical implementations and business needs, with the ability to partner with various business leaders to spot and act on opportunities for AI-driven transformation and innovation.

Key Responsibilities
  • Partner with business leaders to understand challenges, identify AI opportunities, and implement effective AI/GenAI solutions.
  • Lead the ideation, prototyping, deployment, and scaling of AI/GenAI technologies and agentic solutions tailored to business needs.
  • Develop and communicate strategic frameworks and roadmaps for AI initiatives aligned with business goals.
  • Champion best practices in AI/ML and GenAI development—including responsible AI, privacy, security, and ethical guidelines.
  • Collaborate with cross-functional teams to integrate AI tools within core business processes, ensuring seamless, high-value adoption.
  • Stay abreast of AI best practices, tools, and methodologies and introduce them to the organization.
  • Drive AI and Data literacy across the company through training, workshops, and continuous education initiatives.
  • Ensure compliance with data protection and privacy regulations in all AI implementations.
  • Monitor and evaluate the performance and effectiveness of AI solutions and continually refine them.
  • Collaborate with stakeholders to define and achieve key performance indicators (KPIs) and return on investment (ROI) for AI projects.
  • Advocate and implement AI ethical guidelines and best practices.
Required Qualifications
  • Solid Foundations: Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related technical field.
  • Practical Tinkerer: 5+ years in a technical role (software, data, DevOps, etc.), with hands on experience building end-to-end prototypes using GenAI tools (GPTs, Hugging Face, open-source LLMs, LangChain, Scikit-learn, etc.).
  • Curious Explorer: Demonstrates a hands-on approach to learning in prompt-engineering, fine-tuning, RAG pipelines, or API Integrations, with a commitment to rapid failure, iteration, and sharing findings.
  • Data Wrangler: Possesses the ability to source, clean, and transform raw data, including spreadsheets, logs, APIs, or CRM exports, into structured inputs for AI experiments and prototypes.
  • Code Crafter: Capable of writing scripts or small applications to connect models, cloud services, or data sources. Prior experience with TensorFlow, PyTorch, Azure, AWS, or GCP is beneficial, but willingness to learn is equally important.
  • Business Translator: Experienced as a technical sales engineer or solutions consultant, capable of turning AI experiments into compelling stories and metrics that resonate with non-technical stakeholders.
  • Responsible AI Mindset: Demonstrated experience in addressing privacy, security, bias, and ethics in professional work, with a strong familiarity with industry-specific data privacy, AI ethics, and compliance requirements.
  • Team Player: Essential qualities include clear communication and a growth mindset, as you will collaborate with marketers, sales professionals, engineers and leaders.
Preferred Qualifications
  • Demonstrates strong knowledge of AI use cases, including NLP, computer vision, data analytics, predictive modelling, and translating technical capabilities into business value, along with proficiency in large language models (LLMs), prompt engineering, RAG architectures, MLOps, LLMOps, and GenAI application deployment.
  • Advanced programming and data engineering skills, with Python preferred, and experience in cloud-based AI solutions (AWS, GCP, Azure).
  • Ability to architect and deploy enterprise-scale AI solutions, collaborating across sales, product, and implementation teams to ensure adoption and measurable ROI.
  • Strategic thinker with strong analytical and problem-solving skills, capable of driving measurable business outcomes through AI/GenAI.
Pay Range

$115,000 - $160,000 CAD

What Diligent Offers You
  • Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
  • We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
  • We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
  • Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability –to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.

Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.

We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com .

To all recruitment agencies

Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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