Burnaby Bc Data science manager Jobs – 19 Openings This Week

Product Manager, AI Enablement
Safe Fleet —Coquitlam, BC
- $145,000–$165,000 a year
- Full-time
- Machine learning
- Product management
- Training & development
Quick apply
11d
Data Science Manager - AI Trainer
DataAnnotation —West Vancouver, BC
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Manager, Data & Analytics Business Partner
Westland Insurance Ltd. —Surrey, BC
- $106,000–$138,000 a year
- Full-time
- Hybrid work
- Computer Science
- SQL
- Machine learning
Quick apply
Sr. Manager, Data Engineering & Analytics
Serve Robotics —Vancouver, BC
- $211,000–$246,000 a year
- Full-time
- Remote
- Computer Science
- Engineering
- Supervising experience
Manager, Data & AI Strategy
TELUS Digital —Vancouver, BC
- $111,724–$131,440 a year
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
Senior Manager, Data Analytics & Automation-AI Strategy Modernization
KPMG —Vancouver, BC
- $131,000–$179,500 a year
- Full-time
- Computer Science
- Bachelor's
- Machine learning
Senior Customer Analytics Manager (Sales & Partnerships)
Jobber —Vancouver, BC
- $151,200–$204,500 a year
- Full-time
- Hybrid work
- Salesforce
- SQL
- Analysis skills
Senior Product Manager - AI
Varicent —Vancouver, BC
- $121,200–$159,000 a year
- Remote
- Computer Science
- Engineering
- Bachelor's
Quick apply
Lead Data Scientist
Mastercard —Vancouver, BC
- $127,000–$203,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Senior Customer Analytics Manager
Jobber —Vancouver, BC
- $151,200–$204,500 a year
- Full-time
- Hybrid work
- Salesforce
- SQL
- Analysis skills
Engineering Manager, Machine Learning Platform and Infrastructure
DarkVision —North Vancouver, BC
- $150,000–$200,000 a year
- Computer Science
- DevOps
- Engineering
Applied Scientist Manager, Tax Engine
Amazon Development Centre Canada ULC —Vancouver, BC
- $222,800–$372,000 a year
- Full-time
- Team management
- Mentoring
- AI
- Profit sharing
- Dental care
Development Manager – AI/ML Solutions
Fortinet —Burnaby, BC
- $110,000–$150,000 a year
- Full-time
- Computer Science
- Java
- Databases
- Disability insurance
- Dental care
Manufacturing Analytics Lead
Tree Island Steel —Richmond, BC
- $100,000–$115,000 a year
- Full-time
- Computer Science
- Engineering
- ERP systems
Quick apply
Manager, Customer Analytics (Sales & Marketing)
Jobber —Vancouver, BC
- $151,200–$204,500 a year
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Machine learning
Lead / Senior Machine Learning Engineer
Vancouver City Savings Credit Union —Vancouver, BC
- $113,100–$153,000 a year
- Remote
- Computer Science
- Engineering
- Master's degree
- Designated paid holidays
- Dental care
Lead Data Scientist, AML Analytics
Royal Bank of Canada —Vancouver, BC
- Full-time
- Computer Science
- Master's degree
- Databases
Lead Machine Learning Engineer
Serve Robotics —Vancouver, BC
- $225,000–$260,000 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Engineering
Lead Engineer, Reinforcement Learning & Scenario Generation
Serve Robotics —Vancouver, BC
- $160,000–$300,000 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- C++

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Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
Partner with governance teams to embed AI/DS governance (data use, privacy, safety, bias, evals) into development and release processes.
$79,000–$131,000 a year
Quick apply
Data Science Manager
Vistar Analytics —Toronto, ON
This is a hands-on leadership position for someone who can operate across business strategy, analytics, technical architecture, model development, client…
$150,000–$250,000 a year
Quick apply

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data science manager jobs near burnaby bc

Product Manager, AI Enablement

Safe Fleet -
Coquitlam, BC

Quick apply

Job details

Full-time
$145,000–$165,000 a year
11 days ago

Qualifications

Law
Kanban
Business analysis
Change management
Stakeholder coordination
Machine learning
Product management
Scrum
Data science
Training & development
Technical product management experience
AI
Cross-functional collaboration
Communication skills
Stakeholder relationship building
Cross-functional communication
Stakeholder management

Full job description

ABOUT THE POSITION

Meet the Smart Safety Company

At Safe Fleet our name says it all. We make fleet vehicles – and everyone in and around them – safer. Our fleet safety platform brings together best-in-class products, ground-breaking technology, and a 100-year history of fleet know-how and innovation to solve the world’s biggest fleet safety problems.

Our core value is safety. Without safety first, efficiency and productivity are not possible. This is true for our products, our culture, and our relationship with our community. Our vision is to reduce preventable deaths and injuries in and around fleet vehicles with a goal of ZERO accidents.

We are re-defining what safety means for fleets of every type – from school buses to waste collection trucks, firefighting to utility vehicles, police cruisers to delivery vans.

Whether you work in our Charlotte plant to build life-saving stop arms for school buses, or design advanced camera vision products in our Vancouver office, forge valves and high-quality nozzles to fight fires, or dream up new ways to protect fleet operators in our Corporate HQ in Kansas City, you’ll contribute to our goal to keep everyone safe.

We are a fast-growing manufacturing, service, and technology company with over 1700 employees in over 15 locations across Canada and the US. We’re looking for motivated self-starters with innovative thinking to join our team and help us achieve our growth and performance goals. Sound like you?

JOB SUMMARY

We are seeking a strategic and execution-oriented Product Manager, AI Enablement to drive the identification, prioritization, and delivery of high-impact AI initiatives across the organization.

This role is responsible for working closely with business units and departments to analyze operations and products, identify AI adoption opportunities, and translate them into measurable, executable initiatives. The role ensures AI investments are grounded in business value, realistic expectations, and responsible deployment.

The ideal candidate combines strong product management fundamentals with a practical understanding of modern AI technologies and is comfortable navigating ambiguity while driving clarity and alignment.

You will

Partner with business units and departments to analyze workflows, products, and operational processes to identify AI adoption opportunities.
Assess feasibility, risks, expected impact, and ROI for proposed AI initiatives.
Distinguish between high-value opportunities and low-impact experimentation.
Develop structured problem statements and business cases for prioritized initiatives.
Define and maintain the AI Enablement roadmap aligned with strategic business priorities.
Establish a formal intake and prioritization framework for AI requests.
Work closely with the AI Engineering Manager to translate business opportunities into actionable technical plans.
Lead discovery, pilot validation, rollout, and impact measurement of AI initiatives.
Act as the bridge between business stakeholders, engineering, IT, security, and compliance to ensure aligned and responsible AI adoption.
Set realistic expectations around AI capabilities, limitations, risks, and trade-offs.
Define and track KPIs tied to productivity gains, cost savings, quality improvements, or revenue impact.
Ensure AI initiatives comply with governance standards, security policies, and responsible AI guidelines.
Communicate progress, measurable outcomes, and risks clearly to executive leadership.
Monitor adoption, user feedback, and long-term business impact of deployed AI solutions.
Co-lead AI awareness and training initiatives alongside other members of the AI Enablement Team.
Help educate stakeholders on practical AI applications, limitations, and best practices.
Contribute to building AI literacy across product, engineering, and business teams.

Salary: $145,000 - $165,000/yr CAD

The final offer will be determined based on a combination of factors including skills, experience, and alignment with the role’s responsibilities.

Candidates at the lower end of the range will meet the core qualifications and demonstrate strong potential to grow within the role.
Mid-range offers reflect a solid match with the role’s technical and collaborative requirements.
Offers at the top of the range are reserved for candidates who bring exceptional qualifications, specialized expertise, or unique value that significantly exceeds the baseline expectations

At Safe Fleet, we are an equal opportunity employer that is committed to creating a diverse and inclusive workplace where everyone is valued and respected. We embrace diversity and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other legally protected status. We promote fair and equitable hiring practices and foster a culture of inclusivity and respect. Our core values of integrity, innovation, teamwork, customer focus, and safety guide our efforts to provide a workplace where all employees can thrive and reach their full potential.

Requirements:

6+ years of product management experience in technology-driven environments
Demonstrated experience leading cross-functional initiatives from discovery to delivery
Experience identifying and validating new technology-driven opportunities
Strong understanding of modern AI technologies, including LLM-based applications and AI services (e.g., OpenAI, Azure OpenAI, Gemini, Claude, etc.)
Ability to build business cases and define measurable KPIs
Excellent stakeholder management and executive communication skills
Experience working in Agile environments (Scrum or Kanban)

Preferred Qualifications:

Experience working on AI-enabled products or enterprise AI adoption initiatives
Familiarity with Data Science or Machine Learning concepts
Experience in enterprise or multi-business-unit organizations
Experience driving change management or technology adoption programs
Exposure to regulated or compliance-driven environments

Quick apply

Refine Your Search

data science manager jobs in burnaby bc

Product Manager, AI Enablement

Data Science Manager - AI Trainer

Manager, Data & Analytics Business Partner

Sr. Manager, Data Engineering & Analytics

Manager, Data & AI Strategy

Senior Manager, Data Analytics & Automation-AI Strategy Modernization

Senior Customer Analytics Manager (Sales & Partnerships)

Senior Product Manager - AI

Lead Data Scientist

Senior Customer Analytics Manager

Engineering Manager, Machine Learning Platform and Infrastructure

Applied Scientist Manager, Tax Engine

Development Manager – AI/ML Solutions

Manufacturing Analytics Lead

Manager, Customer Analytics (Sales & Marketing)

Lead / Senior Machine Learning Engineer

Lead Data Scientist, AML Analytics

Lead Machine Learning Engineer

Lead Engineer, Reinforcement Learning & Scenario Generation

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