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Data Science Product Manager Jobs in Ontario (NOW HIRING)

Curinos Inc

Manager, Delivery Data Science

Toronto, ON · On-site

This role sits at the intersection of Delivery Data Science and Product Data Science, helping translate advanced modeling capabilities into measurable client outcomes. We are seeking a Manager ...

MasterCard

Director, Data Science

Toronto, ON · On-site

These models are designed to be production-ready and to power high-value capabilities that protect ... managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience.

CookUnity

Director, Data Science/ML

Toronto, ON

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

CookUnity

Director, Data Science/ML

Toronto, ON · On-site

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

Omnicom Media

Data Science Manager

Toronto, ON · Hybrid

CA$90K - CA$100K/yr

Position Summary We are hiring a Data Science Manager to lead project delivery across a range of data science engagements and serve as a key point of contact for clients. You will manage the day-to ...

Upshop

Product Manager

Mississauga, ON · On-site

CA$100K - CA$130K/yr

Product Manager Role Overview Upshop is seeking a Product Manager responsible for helping define ... Partner with engineering, UX, data science, revenue, and customer success teams * Support go-to ...

Capital One

Manager, Data Science

Toronto, ON · Hybrid

CA$173K - CA$197K/yr

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Manager, Data Science About Capital One ... Designing and contributing to highly scalable data pipelines, tools, and products to enable the ...

Fig

Data Science Manager, Risk

Toronto, ON · On-site

... Science Manager, Risk to build and operationalize the models, data pipelines, and analytical ... Partner closely with Credit Strategy, Product, Growth, Finance, Engineering, and Data teams to ...

CIBC

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to Business Lines and Finance team. This involves working with multiple stakeholders on data analysis ...

CIBC US

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to Business Lines and Finance team. This involves working with multiple stakeholders on data analysis ...

Vangard, Inc.

AI/ML Product Manager

Toronto, ON

AI/ML Product Manager As an AI/ML Product Manager at Vanguard, you'll help shape how artificial ... Partner closely with engineering, data science, design, risk, legal, and business stakeholders to ...

Royal Bank of Canada

Product Manager

Toronto, ON · On-site

As a Product Manager on the MATA platform team, you will play a key role in bringing product ... You will collaborate with talented engineers, data scientists, and business stakeholders, with ...

Miqdigital

Product Manager

Toronto, ON · Hybrid

Drive product development with cross-functional teams including engineering, data science ... in a product management role * Experience working with engineering, data science and other ...

Varicent

Senior Product Manager - AI

Toronto, ON

Role Overview As a Senior Product Manager, AI Adoption & Customer Value , you will lead the 1-to-n ... Partner with Product Operations, Data Science, Engineering, Customer Success, and Go-to-Market ...

Mercor

Enterprise Data Science Specialist

Toronto, ON · Remote

CA$60 - CA$70/hr

Direct ownership of F500 data products , analytics initiatives , or machine learning systems in production. * Fluency in enterprise data science tooling and methodologies, with an understanding of ...

Sun Life Financial

Senior Data Scientist

King, ON · On-site

Work in cross-functional teams to develop ML/data science products, including GenAI applications ... Ability to work on multiple projects in parallel while managing constantly changing deadlines and ...

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All JobsData Science Product JobsData Science Product Manager JobsData Science Product Manager Jobs in Ontario

Data Science Product Manager information

See Ontario salary details

$28K

$104K

$171K

How much do data science product manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data science product manager in Ontario is $103,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Science Product Manager jobs in Ontario?

For Data Science Product Manager jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Science Product Manager jobs in Ontario look for?

The top searched job categories for Data Science Product Manager jobs in Ontario are:

What cities in Ontario are hiring for Data Science Product Manager jobs?

Cities in Ontario with the most Data Science Product Manager job openings:

Data Science Product Manager jobs near you
Infographic showing various Data Science Product Manager job openings in Ontario as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $103,952 per year, or $50 per hour.

Data Product Manager - Analytical Data Products

Toronto, ON

ShyftLabs
See more jobs at ShyftLabsexternal

Full-time

Medical, Dental, Vision

Re-posted 14 days ago

Job description

About ShyftLabs

ShyftLabs is a fast-growing data and AI company that helps organizations unlock the value of their data through modern engineering, analytics, and intelligent products. We partner with Fortune 500 organizations to build scalable cloud solutions, AI-driven platforms, and innovative data products that accelerate business outcomes.

We're looking for a Data Product Manager to join our growing Data Products team. This role is ideal for someone who combines strong product management expertise with a deep understanding of modern data platforms and enjoys partnering directly with clients to translate complex business challenges into scalable analytical solutions.

Reporting to the Director of Analytical Data Products, you'll own the strategy, roadmap, and execution for a portfolio of analytical data products while serving as the primary point of contact for client stakeholders. You'll collaborate closely with engineering, analytics, and architecture teams to deliver high-quality, reusable data products that drive measurable business value.

What You'll Do
Product Strategy & Ownership
  • Own the end-to-end lifecycle of analytical data products, from discovery and roadmap planning through delivery, adoption, and continuous improvement.
  • Define product vision and priorities aligned with client business objectives and organizational strategy.
  • Balance new feature development with technical debt reduction, platform scalability, and long-term product sustainability.
  • Monitor product performance and usage metrics to identify opportunities for optimization and future enhancements.
Client Partnership
  • Serve as the primary client-facing product lead throughout product delivery.
  • Lead discovery workshops, requirements gathering sessions, and solution scoping discussions.
  • Translate business objectives into clear product requirements and prioritized development backlogs.
  • Build trusted relationships with client stakeholders by communicating technical concepts in a clear, business-focused manner.
  • Manage stakeholder expectations while balancing competing priorities across multiple initiatives.
Product Delivery
  • Maintain, prioritize, and refine product backlogs based on evolving business needs.
  • Partner closely with Engineering, Analytics, Architecture, and Data teams to deliver scalable analytical data products.
  • Lead Agile ceremonies including sprint planning, backlog refinement, stand-ups, retrospectives, and release planning.
  • Ensure successful product launches and ongoing operational excellence.
Data & Technical Leadership
  • Collaborate with engineering teams to define data quality, governance, testing, and usability standards.
  • Contribute to architectural discussions involving modern data platforms including Snowflake, BigQuery, ClickHouse, and similar technologies.
  • Advocate for reusable, scalable data products using modern architectural principles including Data Mesh, Data Fabric, Semantic Layer, and FAIR principles.
  • Perform hands-on SQL analysis and data validation when necessary to support product decisions and client discussions.
Cross-Functional Collaboration
  • Partner with Legal, Privacy, Compliance, and Security teams to ensure products meet regulatory and governance requirements.
  • Work closely with executive stakeholders to communicate product strategy, delivery progress, and technical tradeoffs.
  • Foster a product-led culture focused on delivering measurable business value through data.
What You Bring
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Engineering, or a related discipline.
  • 3-5+ years of experience in Product Management, Data Product Management, Data Management, Analytics, or Data Science.
  • Proven experience managing the full product lifecycle from discovery through launch and continuous improvement.
  • Strong client-facing experience with the ability to gather requirements, influence stakeholders, and manage expectations.
  • Advanced SQL skills with the ability to analyze datasets and validate business hypotheses.
  • Experience working with modern cloud data platforms such as Snowflake, BigQuery, ClickHouse, Databricks, Redshift, or similar technologies.
  • Working knowledge of:
    • Data governance
    • Semantic layer concepts
    • FAIR principles
    • Modern data architecture patterns
  • Experience working within Agile product development environments.
  • Excellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Nice to Have
  • Master's degree in Engineering, Data Science, Business, or a related field.
  • Experience within Pharma, Biotechnology, Financial Services, Consumer Packaged Goods (CPG), or Management Consulting.
  • Familiarity with Customer Data Platforms (CDPs), Omnichannel Marketing, or Digital Marketing Analytics.
  • Demonstrated experience using product usage metrics and customer insights to prioritize roadmap investments.
  • Experience working with enterprise-scale data products serving multiple business units or external clients.
Salary Range
  • $130,000 - $160,000 (CAD)
Why You'll Love Working at ShyftLabs
Hybrid Flexibility: 3 days per week in our downtown Toronto office. 
Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.
Growth & Learning: Continuous learning opportunities and influence over technical direction.
 
Inclusion at ShyftLabs
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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