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Analytics Project Manager Jobs in Ontario (NOW HIRING)

Senior Project Manager Location: Downtown Toronto (3x per week on-site) Contract Length: 1 year ... Facilitate workshops to extract, analyze, and translate ambiguous business needs into clear ...

Project Manager

Barrie, ON ยท On-site

$75K - $103K/hr

Prepare regular updates for senior leadership, analyze project execution trends, and implement best practices to improve team efficiency and delivery * Issue Tracking & Reporting: Maintain and manage ...

Project Manager

Barrie, ON ยท On-site

$75K - $103K/hr

Prepare regular updates for senior leadership, analyze project execution trends, and implement best practices to improve team efficiency and delivery * Issue Tracking & Reporting: Maintain and manage ...

Analyze project risks, schedules, and long-lead items * Ensure compliance with safety standards, QA/QC procedures, and company policies Qualifications: * 10+ years of experience managing large-scale ...

Project Manager

Waterloo, ON ยท On-site

CA$80K - CA$90K/yr

As a Business Data Analyst , you'll be responsible for working directly with clients in face-to-face virtual or in-person meetings, analyzing client operations data, working with project managers on ...

Project Manager Location: London, ON Hybrid - Currently 3 days per week in office The Team: The ... Lead the eliciting, analyzing,validatingandmanaging ofrequirements, business processes, and high ...

Project Manager

Toronto, ON ยท Hybrid

CA$81K - CA$130K/yr

Career Opportunity Role Title Project Manager Purpose of role The Project Manager will provide and ... Proven ability to manage finance issues, budgeting and cost-benefit analysis * Excellent planning ...

Use various analyses, other performance measures and risk assessments to manage implementations or to recommend change * Negotiate program and project changes and incorporate changes into project ...

Use various analyses, other performance measures and risk assessments to manage implementations or to recommend change * Negotiate program and project changes and incorporate changes into project ...

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Analytics Project Manager information

How does an Analytics Project Manager typically collaborate with data scientists and business stakeholders during a project?

An Analytics Project Manager acts as a bridge between technical teams, such as data scientists and engineers, and business stakeholders. They facilitate clear communication to ensure that project goals align with business objectives, translate complex analytics concepts into actionable business decisions, and manage timelines and resource allocation. Regular meetings, progress updates, and feedback sessions are key parts of the collaboration process, enabling the team to address challenges early and deliver impactful insights. This role requires balancing technical feasibility with strategic priorities, making strong interpersonal and organizational skills essential.

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

AspectAnalytics Project ManagerData Analyst
Required CredentialsBachelor's degree in Business, Analytics, or related field; often PMP or project management certificationsBachelor's degree in Statistics, Mathematics, or related field; may have certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentLeads projects, coordinates teams, manages timelines in corporate or consulting settingsAnalyzes data, creates reports, visualizations in various industries
Employer & Industry UsageUsed in tech, finance, healthcare, consulting firms for managing analytics projectsCommon across industries for data interpretation and reporting

The main difference is that an Analytics Project Manager oversees analytics projects, manages teams, and ensures project delivery, while a Data Analyst focuses on analyzing data, generating insights, and creating reports. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

What are the key skills and qualifications needed to thrive as an Analytics Project Manager, and why are they important?

To thrive as an Analytics Project Manager, you need strong project management skills, experience with data analytics, and a relevant degree such as in business, statistics, or computer science. Familiarity with analytics platforms (like Tableau, Power BI), project management tools (such as Jira or Asana), and certifications like PMP or Agile are typically expected. Outstanding communication, leadership, and problem-solving abilities help bridge technical teams and stakeholders, ensuring project alignment. These skills enable effective delivery of data-driven projects that support organizational goals and continuous improvement.

What does an Analytics Project Manager do?

An Analytics Project Manager oversees data-driven projects from initiation to completion, ensuring that analytics initiatives meet organizational goals. They collaborate with data analysts, data scientists, and business stakeholders to define project scope, set timelines, allocate resources, and monitor progress. Their responsibilities often include translating business needs into technical requirements, managing budgets, and delivering actionable insights to guide decision-making. They play a key role in ensuring projects are delivered on time, within budget, and with the desired impact.
What cities in Ontario are hiring for Analytics Project Manager jobs? Cities in Ontario with the most Analytics Project Manager job openings:
Infographic showing various Analytics Project Manager job openings in Ontario as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Project Manager

Patch & Permasearch

Toronto, ON โ€ข On-site

Other

Posted 16 days ago


Job description

Job Description Job Title: Senior Project Manager Location: Downtown Toronto (3x per week on-site) Contract Length: 1 year with strong chance of extension or conversion Our client is seeking a seasoned, hands-on Senior Project Manager to lead the delivery of enterprise-wide data and integration projects, including a flagship AI initiative. This role is ideal for a practitioner who thrives in an evolving, immature project management environment and possesses the unique ability to blend rigorous methodology with empathetic, high-touch stakeholder management. You won't just be managing a timeline; you will be the driving force establishing a culture of project discipline.

You will partner closely with business leaders to define business cases, translate visions into concrete requirements, and establish rock-solid project charters before managing those deliverables. Responsibilities: Project Management Discipline & Framework Establishment Introduce, adapt, and champion core project management fundamentals tailored to a small-to-mid-size organization. Meet the organization where it is; pragmatically adjust methodologies to fit a developing PM environment without causing organizational friction.

Coach, mentor, and guide cross-functional stakeholders on project best practices, building overall organizational capability and discipline. Project Discovery & Scoping Act as a trusted advisor to business stakeholders, guiding them through the process of defining and building robust business cases. Facilitate workshops to extract, analyze, and translate ambiguous business needs into clear, actionable requirements.

Define, lock down, and define project scope while authoring comprehensive project charters to align executive sponsors and delivery teams. Enterprise Platform & AI Delivery End-to-end management of complex, enterprise-wide platform deployments, specifically focusing on complex data architectures, pipelines, and system integrations. Successfully plan, execute, and deliver AI/Machine Learning related initiatives, navigating the unique lifecycle challenges (data readiness, model training, iterative deployment) inherent to AI projects.

Manage technical dependencies, risks, and resource constraints across engineering, and business teams. Qualifications: Minimum of 8+ years of dedicated project management experience, with a proven track record in small-to-mid-size organizational environments. Proven success delivering enterprise-scale data platforms, API/system integrations, and at least one successfully deployed AI or Advanced Analytics project.

Demonstrated experience maturing a low-maturity PM environment. Exceptional emotional intelligence (EQ) and patience. You must be comfortable with guiding stakeholders through discovery and change management.

Mastery in authoring Project Charters, Scope Statements, Risk Registers, and Business Case documentation. PMP, PMI-ACP, CSM, or equivalent practical experience demonstrating a deep toolkit of methodologies.