Manager, AI & Data Intelligence

Pacific Smoke International Inc•Markham, ON

7d•CA$85,000 - CA$135,000•Hybrid

About The Position

We are seeking an experienced and strategic AI Manager to lead the development, adoption, and operationalization of AI capabilities across the organization. This role will bridge business strategy, data, analytics, and emerging AI technologies to drive operational efficiency, intelligent decision-making, automation, and business growth. The AI Manager will work closely with business stakeholders, IT, data teams, and leadership to identify high-value AI opportunities, define business logic and workflows, and implement scalable AI solutions aligned with organizational goals. This role is ideal for someone who understands both business operations and modern AI/data platforms, and can translate real-world business processes into practical AI-enabled solutions.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Business, or related field
5+ years in data, analytics, AI, business intelligence, or digital transformation roles
Experience leading AI or data-driven initiatives
Strong understanding of enterprise business processes and operational workflows
Experience with modern cloud data and AI platforms
Strategic thinking
Strong communication and stakeholder management
Problem-solving mindset
Ability to bridge technical and business teams
Leadership and project management
Innovation and continuous learning mindset

Nice To Haves

Master’s degree is an asset
BigQuery/ cloud data warehouses
dbt/ semantic modeling
Microsoft Fabric / Power BI
Azure AI / OpenAI
AI/ML concepts and platforms
Metadata management and data governance
APIs and system integrations
RAG architecture and enterprise AI applications
Curious and forward-thinking
Strong business acumen
Passion for innovation and emerging technologies
Practical and execution-oriented
Able to simplify complex concepts into business value

Responsibilities

Develop and execute the organization’s AI roadmap and adoption strategy
Identify business opportunities where AI can improve efficiency, decision-making, customer experience, and revenue growth
Drive AI maturity from descriptive analytics toward predictive and prescriptive intelligence
Evaluate emerging AI technologies, tools, and platforms
Work with departments to understand operational workflows, pain points, and decision-making processes
Translate business rules, operational logic, and workflows into AI-ready frameworks
Design AI-driven recommendation and decision-support capabilities
Partner with business teams to define measurable AI outcomes and KPIs
Collaborate with data engineering and BI teams on AI-ready data infrastructure
Support the evolution of data warehouse architecture, semantic layers, metadata management, RAG (Retrieval-Augmented Generation) architecture, and AI governance frameworks
Ensure AI solutions are scalable, secure, and aligned with enterprise architecture
Lead implementation of AI use cases such as AI Sales Agents, predictive analytics, recommendation engines, conversational AI, process automation, and knowledge assistants
Coordinate with vendors, consultants, and internal technical teams
Manage AI proof-of-concepts and pilot programs
Establish AI governance standards, policies, and best practices
Ensure responsible AI usage, data privacy, and security compliance
Support AI explainability, lineage, and trustworthiness
Promote ethical and transparent AI practices
Drive AI awareness and adoption across the organization
Train and educate teams on AI capabilities and opportunities
Foster a culture of innovation and continuous improvement
Help business teams adapt workflows and operating models for AI-enabled operations