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Data Integrity Manager Jobs in Ontario (NOW HIRING)

HireValues

Data Architect

Toronto, ON

... integrity and database tools. Develops and articulates actionable target state data architectures and roadmaps in support of enterprise data management strategies including but not limited to Data ...

FNZ

Data Migration Test Manager

Toronto, ON

Defines and manages reconciliation, validation, and data integrity testing, including balances, positions, transactions, GLs, and regulatory outputs * Leads datarelated defect management, rootcause ...

Scotiabank

Data Analyst

Toronto, ON

Highly detail-oriented with a focus on data accuracy, integrity, and control effectiveness. * Excellent communication and stakeholder management skills across business and technology teams. * Ability ...

Knak

People, Generalist

Ottawa, ON · On-site

CA$90K - CA$110K/yr

Maintain HR compliance by managing documentation, supporting audits, and ensuring adherence to employment legislation and company policies. * Maintain HRIS data integrity and provide people reporting ...

Autodesk

Marketing Operations Manager

Toronto, ON · On-site

Design andmaintainreliable lead capture, routing, scoring, and lifecycle management frameworks that ensure data integrity and seamless Sales handoff * Develop andmaintainreporting frameworks and ...

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All JobsData Integrity JobsData Integrity Manager JobsData Integrity Manager Jobs in Ontario

Data Integrity Manager information

See Ontario salary details

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$105K

$153K

How much do data integrity manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data integrity manager in Ontario is $104,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $139,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data integrity managers, and how can they be addressed?

Data Integrity Managers often encounter challenges such as ensuring data accuracy across multiple systems, managing data governance policies, and addressing data quality issues that arise from manual entry or system migrations. These challenges can be addressed by implementing robust data validation processes, fostering a culture of accountability among team members, and working closely with IT and business stakeholders to establish clear data standards. Regular audits and ongoing training can also help maintain high data integrity standards and minimize errors.

What is the difference between Data Integrity Manager vs Data Quality Analyst?

AspectData Integrity ManagerData Quality Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMABachelor's in Data Science, IT, or related; certifications like CDMP or Six Sigma
Work EnvironmentOversees data management teams, implements data policies, ensures data accuracy and securityAnalyzes data sets, identifies quality issues, recommends improvements
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcare, and techCommon in analytics, business intelligence, and data-driven sectors

The Data Integrity Manager focuses on maintaining the overall accuracy, security, and consistency of data across systems, often managing teams and policies. In contrast, the Data Quality Analyst primarily analyzes data sets to identify and resolve quality issues. Both roles require similar certifications and are vital in data-centric industries, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a data integrity manager?

To thrive as a Data Integrity Manager, you need expertise in data management, quality assurance, and compliance, often supported by a degree in information systems or related fields. Familiarity with database management systems (DBMS), data governance tools, and certifications like CDMP or DAMA are typically required. Strong attention to detail, analytical thinking, and effective communication help you proactively address data issues and collaborate across departments. These skills ensure accurate, reliable data that supports business decisions and regulatory compliance.

What is a data integrity manager?

Data Integrity Managers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They oversee data governance policies, implement quality control measures, and work closely with IT and business teams to maintain compliance with regulations and standards. Their role is crucial in industries where data accuracy impacts decision-making, regulatory compliance, and operational efficiency.
What are the most commonly searched types of Data Integrity jobs in Ontario? The most popular types of Data Integrity jobs in Ontario are:
What job categories do people searching Data Integrity Manager jobs in Ontario look for? The top searched job categories for Data Integrity Manager jobs in Ontario are:
What cities in Ontario are hiring for Data Integrity Manager jobs? Cities in Ontario with the most Data Integrity Manager job openings:
Data Integrity Manager jobs near you
Infographic showing various Data Integrity Manager job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,958 per year, or $50.5 per hour.

Manager, Data Analytics - Canada

Zenni Optical

Toronto, ON • Remote

CA$300/day

Full-time

Medical, Dental, Vision, Life

Re-posted 13 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.

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