1

Program Manager Data Analytics Jobs in Toronto, ON

The Manager of Marketing Analytics role will leverage data and analytics to drive the ... Power BI, as well as statistical programs like R and Python are considered an asset * Experience ...

... managing spreadsheets and start driving strategy. Prophix One™ brings planning, reporting ... Data Engineer) or AWS certifications (Solutions Architect, Data Analytics Specialty)Experience in a ...

Reporting to the Manager, Data Analytics, the Senior Data Analyst will lead the development ... Pension, stock and savings programs to help build and enhance your future financial security. The ...

New

Reporting to the Manager, Data Analytics, the Senior Data Analyst will lead the development ... Pension, stock and savings programs to help build and enhance your future financial security. The ...

New

This involves working with multiple stakeholders on data analysis, process engineering for ... Subject to plan and program terms and conditions What you need to know * CIBC is committed to ...

Showing results 21-40

Program Manager Data Analytics information

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

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

How does a program manager in data analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

What are the key skills and qualifications needed to thrive as a program manager in data analytics, and why are they important?

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a program manager in data analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

What are popular job titles related to Program Manager Data Analytics jobs in Toronto, ON?

For Program Manager Data Analytics jobs in Toronto, ON, the most frequently searched job titles are:

Senior Manager, Data Analytics & Automation-AI Strategy Modernization

KPMG

Toronto, ON • On-site

Full-time

Re-posted 17 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

KPMG’s Management Consulting practice helps organizations leverage change. The Data, Analytics and Automation team helps organizations unlock value from data and AI by enabling data-informed decision-making through strategy, governance, and operating model design in complex enterprise environments. 

We help organizations to become AI driven! Will you collaborate with us?  

Our Team 
As a Senior Manager in Data, Analytics and Automation, you will be part of our Technology Consulting practice within Consulting Firm. Our global network of professionals collaborates to design innovative, data-driven and AI-enabled solutions. 

We integrate across advisory domains including Business Intelligence, Advanced Analytics, Digital Transformation, and Enterprise Solutions to help organizations embed AI into their core business strategy. We collaborate across service offerings on AI driven solutions.  

The successful candidate will lead AI and advanced analytics strategy engagements, helping organizations identify, prioritize, and design AI-enabled opportunities. 

This role is focused on strategy, use case design, and operating model definition—not model development or implementation. You will work with business and technology leaders to shape how AI is adopted responsibly and effectively across the enterprise. 


What you will do
  • Lead the development of AI and advanced analytics strategies and roadmaps  
  • Identify and prioritize AI use cases aligned to business value and strategic objectives  
  • Design AI operating models, including governance, roles, and delivery structures  
  • Define frameworks for responsible AI, including model risk management, ethics, and compliance  
  • Translate business challenges into AI-enabled solutions and high-level designs  
  • Develop business cases and value realization frameworks for AI initiatives  
  • Facilitate workshops to drive AI ideation, use case discovery, and prioritization  
  • Align AI strategy with underlying data capabilities and enterprise architecture  
  • Advise on adoption of emerging technologies (e.g., GenAI) at a strategic level  
  • Support executive stakeholders in understanding AI risks, opportunities, and investment decisions  
  • Collaborate with data strategy teams to ensure alignment between data and AI transformation  
  • Contribute to the development of AI advisory offerings and thought leadership  
  • Mentor team members in AI strategy, analytics translation, and business engagement 

What you bring to the role
  • University degree in data science, computer science, business, or a related field  
  • 10+ years of experience in analytics, AI, or data-driven strategy roles, including 5-7 years of hands on consulting experience 
  • Proven experience in defining AI strategies, use cases, and operating models  
  • Strong understanding of AI/ML concepts and lifecycle (without requiring hands-on development)  
  • Experience with GenAI and emerging AI trends is strongly preferred  
  • Strong business acumen and ability to translate analytics into business value  
  • Experience engaging with senior stakeholders and executives  
  • Excellent communication and storytelling skills  
  • Experience in financial services or insurance is considered an asset  
  • Familiarity with AI governance, ethics, and regulatory considerations is an asset 

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $147,000 to $192,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • University degree in data science, computer science, business, or a related field  
  • 10+ years of experience in analytics, AI, or data-driven strategy roles, including 5-7 years of hands on consulting experience 
  • Proven experience in defining AI strategies, use cases, and operating models  
  • Strong understanding of AI/ML concepts and lifecycle (without requiring hands-on development)  
  • Experience with GenAI and emerging AI trends is strongly preferred  
  • Strong business acumen and ability to translate analytics into business value  
  • Experience engaging with senior stakeholders and executives  
  • Excellent communication and storytelling skills  
  • Experience in financial services or insurance is considered an asset  
  • Familiarity with AI governance, ethics, and regulatory considerations is an asset 

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $147,000 to $192,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME