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Data Manager Jobs in Ontario (NOW HIRING)

Manager, Data & AI Transformations

Toronto, ON · On-site

CA$109K - CA$155K/yr

Our team - SMB Business Intelligence team is seeking Manager-Data & AI Transformations, with a focus on Customer data and automation.. This role requires a passion for developing data strategies ...

Credit Risk Expert & Strategic Builder We are looking for a hands-on, data-obsessed Data Science Manager, Risk to build and operationalize the models, data pipelines, and analytical frameworks that ...

The Data Quality Management Lead is responsible for designing, implementing, and operationalizing the enterprise Data Quality (DQ) framework across business domains. This role ensures that critical ...

As a Data Management Lead-Palantir, you will apply deep delivery acumen for data driven engagements, architecting value, and leverage operating model architecture skills to influence client agendas ...

CA$130K - CA$160K/yr

As a Manager, Data Science you will lead the development and integration of AI-enabled capabilities within Fusion, The Home Depot's Business Intelligence (BI) tool for suppliers. In this role, you ...

Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...

Showing results 21-40

Data Manager information

See Ontario salary details

$26.5K

$86.1K

$197K

How much do data manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data manager in Ontario is $86,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their roles essential for organizations managing large data sets.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
What are the most commonly searched types of Data jobs in Ontario? The most popular types of Data jobs in Ontario are:
What are popular job titles related to Data Manager jobs in Ontario? For Data Manager jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Manager jobs in Ontario look for? The top searched job categories for Data Manager jobs in Ontario are:
What cities in Ontario are hiring for Data Manager jobs? Cities in Ontario with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $86,113 per year, or $41.4 per hour.

Manager, Data Analytics - Canada

Zenni Optical

Toronto, ON • Remote

CA$300/day

Full-time

Medical, Dental, Vision, Life

Re-posted 12 days ago


Job description

About the Role:

Zenni is experiencing rapid growth in the affordable eyewear space, and data is at the core of our success. We are seeking a Manager, Data Analytics with a strong technical background and deep business domain expertise to partner closely with our Engagement Marketing team.

In this leadership role, you will bridge the gap between complex data architecture and strategic marketing initiatives. You will be responsible for translating large datasets into clear, actionable insights, empowering our cross-functional teams to make confident, informed decisions. By building robust data solutions and fostering strong collaboration across departments, you will directly impact our operational efficiency and drive revenue growth. If you are a collaborative leader who excels at leveraging data to solve real-world business challenges, this could be the next move for you!  This is a remote role overseeing a team of 2 and reporting to the Sr. Director of Data Engineering.

Responsibilities:
  • Champion data literacy: Provide ongoing training and support to the Engagement Marketing team, ensuring complex data concepts are seamlessly communicated and understood.
  • Drive cross-functional alignment: Act as the strategic bridge between the Data and Engagement Marketing teams, streamlining communication to boost operational efficiency and collaboration.
  • Power marketing platforms: Integrate enriched, highly trusted data with key business platforms (e.g.,Google, Tik Tok, Meta) to optimize ad delivery and AI performance.
  • Ensure data integrity: Own the lifecycle of data feeds, encompassing validation, monitoring, testing, and proactive alerting, to guarantee uncompromising data quality and reliability.
  • Define success metrics: Partner with functional teams to establish a shared, accurate understanding of the core metrics that drive organizational performance.
  • Shape the data roadmap: Lead the strategic planning for the data team, ensuring technical initiatives directly align with Zenni's overarching growth objectives.
  • Innovate continuously: Stay at the forefront of modern data engineering technologies and industry trends to evolve our strategy and keep our technical capabilities competitive.
Basic Qualifications:
  • Bachelor's degree in Computer Science, Machine Learning, Engineering, or a related technical discipline.
  • 8+ years of dedicated experience in the data area, coupled with at least 3 years navigating the fast-paced e-commerce landscape.
  • Deep business domain knowledge across key marketing functions, including but not limited to Performance Marketing, Lifecycle, and Brand Marketing.
  • Hands-on experience implementing marketing measurement methodologies, including Last-Touch, MTA, incrementality testing, MMM, and CVR measurement frameworks.
  • Extensive experience designing data architecture, performing complex data modeling, and building scalable ETL/ELT pipelines for centralized data warehouses.
  • Advanced fluency in SQL and Python, with the ability to dive deeply into a modern tech stack as a hands-on contributor.
  • Demonstrated success leading projects from start to finish, spanning requirement gathering, cross-functional stakeholder communication, architecture design, implementation, and QA.
  • Proactive leadership and cross-functional communication skills, with a proven ability to drive business impact.
Preferred Qualifications:
  • Hands-on expertise working within Databricks environments.
  • Proven track record of guiding and mentoring high-velocity data teams in a fast-paced setting.
  • Demonstrated success managing complex data integrations, advanced reporting, and platform optimization across diverse marketing channels.
  • An enthusiastic, proactive approach to tackling new technical challenges and driving continuous improvement.
Canada Perks & Benefits:
  • Annual bonus program
  • 100% employer-paid medical, dental, and vision (dependent coverage capped at $300/month)
  • Life, AD&D, and disability coverage (with optional add-ons)
  • Company-matched RRSP contributions up to 4%
  • Comprehensive wellbeing programs (mental, physical, emotional support)
  • Lifestyle Spending Account (wellbeing + learning)
  • Work-from-home stipend (for eligible roles)
  • Generous Flexible Time Off in addition to our Week of Zen - the time between Christmas and New Year's to relax and recuperate
  • Fully Paid Parental Leave - 16 weeks for birthing and non-birthing parents
  • Family forming & fertility support and services through Maven
  • Annual Zenni Gift Card - to use towards our products

Compensation

In addition to other forms of compensation like perks and benefits, the estimated range for this role is CAD 163,000 - 185,000. The final offer will be determined based on permissible, non-discriminatory factors such as skill set, experience, geographical location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.