ZipRecruiter

Log In

1

Data Science Project Manager Jobs in Ontario (NOW HIRING)

MasterCard

Data Scientist II

Toronto, ON

... managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. Within this space, the Identity Data Science portfolio plays an important role in advancing ...

Future Secure AI

Stay abreast of the latest advancements in machine learning, data science, and human-computer ... Collaborate closely with engineers, user experience researchers, and product managers

ICES Central

Research Project Manager

Toronto, ON · On-site

With a wealth of data and analytic expertise, we create trusted evidence that has changed health ... Managing project budgets and allocating funds in collaboration with the Staff Scientist and project ...

Td

Data Scientist III

Toronto, ON

... viable data science solutions. * Use a wide range of programing languages (e.g. Python) and ... May manage and prioritize multiple projects at a given time. * Generally reports to a Senior ...

Td

Sr. Full Stack Data Science Engineer

Toronto, ON

CA$154K - CA$199K/yr

Strong relationship management, storytelling, and business communication skills for senior ... advanced analytics, data science, or applied AI/ML in domains such as financial services ...

Scotiabank

Data Science Senior Manager

Toronto, ON

... project delivery schedules * Assess the performance of candidate models to ensure that results are ... management * 3+ years of experience processing data with pandas, visualizing data, and fitting ...

MasterCard

Senior Data Scientist

Toronto, ON

The team also leads the research and development of scalable data science systems spanning the full ... by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience.

DAC Group

Project Manager

Toronto, ON · On-site

Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers ... Bachelor's Degree or equivalent college diploma with a major in computer science, finance, business ...

Lbg

Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. * Data Engineering - Deepexpertisein Python, ML frameworks (e.g. TensorFlow,PyTorch), and ...

New

next page

Showing results 1-20

All JobsData Science Project Manager JobsData Science Project Manager Jobs in Ontario

Data Science Project Manager information

See Ontario salary details

$30K

$119.9K

$178.5K

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

As of Jul 4, 2026, the average yearly pay for data science project manager in Ontario is $119,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

What is a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

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

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

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

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
What are popular job titles related to Data Science Project Manager jobs in Ontario? For Data Science Project Manager jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Ontario look for? The top searched job categories for Data Science Project Manager jobs in Ontario are:
Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Ontario as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,929 per year, or $57.7 per hour.

Project Manager, Product Development

Raising The Village

Toronto, ON • Hybrid

$100K - $120K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago

Job description

Job title

Project Manager, Product Development

Reporting to

Director of Product Development

Years of experience

7+

Location

Toronto - Hybrid work environment (3 days in office and 2 days remote.)

Position type

Full Time, Permanent

Compensation

$100,000 - $120,000

Travel required

East Africa

About Raising The Village

Raising The Village (RTV) is an international development organization working to end ultrapoverty in lastmile rural communities across subSaharan Africa. Our 24month universal graduation programs combine targeted material support with agencybuilding interventions to help households move durably out of ultrapoverty.

About the Venn Platform

RTV is investing in the next generation of Venn, an integrated platform for program delivery, monitoring, evaluation, and learning.

What sets Venn apart is its unique ability to unify two critical domains:

  • Monitoring, Evaluation, and Learning (MEL): The measurement frameworks, indicators, instruments, and learning loops that drive continuous program improvement.
  • Systems: The applications, data infrastructure, and data science capabilities that power and operationalize those frameworks.

Getting this platform right has direct consequences for program delivery at scale across multiple countries.

Position Overview

Reporting to the Director of Product, the Project Manager, Product Development owns the planning, execution, and delivery governance for RTV's Venn platform program. You will manage a complex, multi-team technical program spanning Platform Architecture, Software Engineering, Data Engineering, Product, QA, and business stakeholders, ensuring cross-functional alignment, on-time delivery, and strong executive communication at every stage.
As the Project Manager, you will drive program momentum across a technically complex, geographically distributed team to deliver RTV's impact in sub-Saharan Africa. This role requires exceptional communication, organization, and problem-solving skills to manage cross-team dependencies, resolve blockers, and adapt quickly to shifting priorities. Ultimately, RTV is looking for a proactive multi-tasker who takes full accountability for results and maintains a positive, urgent approach to achieving them.

Key Responsibilities

1. Project Leadership & Delivery

  • Define scope and delivery plans - Establish project scope, timelines, and delivery plans for new platform development and enhancements.
  • Own the master plan - Maintain the master project plan, including scope, milestones, dependencies, and critical path.
  • Lead delivery ceremonies - Run cross-functional standups, sprint reviews, dependency reviews, and risk reviews.
  • Ensure alignment - Drive alignment across Platform Architecture, Software Engineering, Data Engineering, Product, QA, and business stakeholders.

2. Execution Management

  • Track progress with structured tools - Use Gantt charts, RAID logs, burndown charts, and milestone dashboards to maintain program visibility.
  • Resolve blockers - Identify risks and blockers early; coordinate resolution with technical and operational leads.
  • Maintain governance - Ensure all workstreams adhere to RTV's documentation, governance, and quality standards.
  • Support engineering output - Help engineering leads deliver incremental, testable, production-ready outputs.

3. Internal Stakeholder Alignment

  • Be the communication hub - Serve as the central point of contact across leadership, technical teams, and business stakeholders.
  • Produce executive updates - Write clear, executive-ready status updates summarizing progress, risks, decisions, and impacts.
  • Bridge strategy and execution - Facilitate alignment between strategic priorities and technical delivery realities.

    4. Risk, Dependency & Change Management

    • Maintain the RAID log - Track and drive proactive mitigation on all risks, assumptions, issues, and dependencies.
    • Manage dependencies - Lead structured change control for scope, timeline, and priority shifts across teams.
    • Provide early visibility - Ensure leadership has advance notice of risks, tradeoffs, and decision points before they become blockers.

    5. Process, Governance & Quality

    • Own documentation - Ensure architecture decisions, requirements, test plans, and release notes are complete, versioned, and accessible.
    • Build repeatable processes - Establish and strengthen repeatable processes for platform onboarding and enhancement delivery.
    • Build delivery culture - Strengthen RTV's internal project management discipline and delivery maturity across the platform team

    Required Qualifications

    • 7+ years of project management experience in data platforms, enterprise systems, SaaS, or cloud modernization.
    • Post-secondary degree in Business Administration, Computer Science, Information Technology or relevant discipline/equivalent
    • PMP, PMI-ACP, PRINCE2, or equivalent project management certification.
    • CSM, PSM, or equivalent Scrum Master certification, with demonstrated experience running Scrum ceremonies.
    • Demonstrated success managing multi-team, multi-phase technical programs with complex cross-functional dependencies.
    • Strong understanding of data engineering, cloud platforms (e.g., Databricks, Azure), APIs, and metadata-driven systems.
    • Exceptional communication skills, with a demonstrated ability to produce structured, executive-ready materials.
    • Expertise with project management tools such as Jira, ClickUp, or equivalent.
    • Proven ability to collaborate with architects, engineers, product managers, and operational stakeholders.
    • Strong analytical, organizational, and facilitation skills.
    • Willingness and ability to travel to East Africa and work East Africa time zones as needed.

        Preferred Qualifications

        • Experience in international development, social impact, or NGO environments.
        • Experience working with distributed, multi-geography teams across significantly different time zones.
        • Familiarity with MEL frameworks or program monitoring in international development contexts.

        Total Rewards

        Benefits include:

        • Group RRSP matching program, up to 5%.
        • Medical, dental, vision, and travel insurance.
        • 4 weeks of vacation.

        Disclaimer:

        This job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. The company reserves the right to modify, add, or remove duties as necessary.

        RTV uses artificial intelligence to screen and assess applicants for this position, including through an applicant tracking system (ATS) that helps sort applications based on job related criteria. Our hiring team reviews all candidates and makes all final decisions.

        Ontario Inclusion and Accessibility Statement:

        RTV is committed to fostering an inclusive, equitable, and accessible workplace. We comply with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA). Accommodations are available upon request for candidates participating in all aspects of the employment process.

        Employment Type: FULL_TIME

        Apply