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96 Data Governance Manager jobs in Canada

Data Quality Analyst - Insurance

Bedford, Nova Scotia IBM

Posted 4 days ago

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Job Description

**Introduction**
At IBM, we know that transformation drives change, and it is in our DNA to continuously transform. Our Business Transformation Consultants help drive large scale change that spans IBM business units and geographies. As a part of this team, you will have the unique opportunity to be a part of driving IBM's ongoing transformation as a company that continuously innovates and leads the market.
**Your role and responsibilities**
In this role, you'll work in our IBM Client Innovation Center (CIC), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. These centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
As a Data Quality Analyst, your role is vital in ensuring the accuracy, integrity, and consistency of data within the property and casualty (P&C) insurance industry. By collaborating closely with insurers and cross-functional teams, you will contribute to enhancing industry data analysis capabilities, supporting decision-making processes, and improving overall industry efficiencies. Your expertise will be instrumental in maintaining high-quality data standards and driving data-driven insights.
Responsibilities:
- Perform thorough analysis of datasets to identify errors, inconsistencies, and data gaps. Implement data cleansing techniques to improve data accuracy, completeness, and consistency. Ensure data meets quality standards and regulatory requirements.
- Collaborate with insurers, internal teams, and other stakeholders to understand data quality requirements, define metrics, and establish data quality performance benchmarks. Communicate effectively to address concerns, provide guidance, and foster a culture of data quality awareness.
- Monitor data quality trends, patterns, and potential risks. Identify areas for improvement and recommend corrective actions to mitigate risks and enhance data quality. Stay updated with industry trends, regulations, and emerging technologies related to data quality in the P&C insurance industry.
- Continuously evaluate and refine data quality processes, methodologies, and tools to enhance efficiency, accuracy, and scalability. Identify opportunities for automation and streamline data quality workflows.
Requirements:
- Meticulous approach to data analysis, ensuring accuracy, precision, and attention to detail. Ability to identify data quality issues, inconsistencies, and patterns in large datasets.
- Strong interpersonal and communication skills to effectively collaborate with insurers, cross-functional teams, and stakeholders. Ability to translate technical concepts into non-technical terms and present insights to diverse audiences.
- Proactive mindset with the ability to identify data quality challenges, propose solutions, and implement process improvements. Strong critical thinking and problem-solving skills to address complex data quality issues.
- Role is located at the Client Innovation Centre in Bedford, Nova Scotia or Client Innovation Centre in Fredericton, New Brunswick
By fulfilling your role as a Data Quality Analyst, you will contribute to maintaining the integrity of data within the P&C insurance industry, supporting informed decision-making, and driving overall industry efficiencies. Your expertise and dedication will play a pivotal role in enhancing data analysis capabilities and promoting a culture of data-driven excellence.
**Required technical and professional expertise**
Experience in the Property & Casualty - Automobile Insurance industry in Canada, with a deep understanding of insurance operations and the insurance industry value chain
- Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
- Strong analytical skills with the ability to collect, analyze, and interpret complex data sets.
- Familiarity with the property and casualty insurance industry, its products, processes, and data requirements. Understanding of industry regulations, data management frameworks, reporting standards, and data governance practices is advantageous.
**Preferred technical and professional experience**
* Work closely with insurance companies to ensure accurate and timely data submissions. Collaborate with insurers to identify and resolve data quality issues, ensuring adherence to industry standards and guidelines.
* Collect, analyze, and interpret data from insurance companies across the P&C insurance industry. Identify trends, patterns, and anomalies to generate valuable insights for decision-making processes, risk assessment, and industry performance evaluation.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Data Quality Analyst - Insurance

Fredericton, New Brunswick IBM

Posted 4 days ago

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Job Description

**Introduction**
At IBM, we know that transformation drives change, and it is in our DNA to continuously transform. Our Business Transformation Consultants help drive large scale change that spans IBM business units and geographies. As a part of this team, you will have the unique opportunity to be a part of driving IBM's ongoing transformation as a company that continuously innovates and leads the market.
**Your role and responsibilities**
In this role, you'll work in our IBM Client Innovation Center (CIC), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. These centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
As a Data Quality Analyst, your role is vital in ensuring the accuracy, integrity, and consistency of data within the property and casualty (P&C) insurance industry. By collaborating closely with insurers and cross-functional teams, you will contribute to enhancing industry data analysis capabilities, supporting decision-making processes, and improving overall industry efficiencies. Your expertise will be instrumental in maintaining high-quality data standards and driving data-driven insights.
Responsibilities:
- Perform thorough analysis of datasets to identify errors, inconsistencies, and data gaps. Implement data cleansing techniques to improve data accuracy, completeness, and consistency. Ensure data meets quality standards and regulatory requirements.
- Collaborate with insurers, internal teams, and other stakeholders to understand data quality requirements, define metrics, and establish data quality performance benchmarks. Communicate effectively to address concerns, provide guidance, and foster a culture of data quality awareness.
- Monitor data quality trends, patterns, and potential risks. Identify areas for improvement and recommend corrective actions to mitigate risks and enhance data quality. Stay updated with industry trends, regulations, and emerging technologies related to data quality in the P&C insurance industry.
- Continuously evaluate and refine data quality processes, methodologies, and tools to enhance efficiency, accuracy, and scalability. Identify opportunities for automation and streamline data quality workflows.
Requirements:
- Meticulous approach to data analysis, ensuring accuracy, precision, and attention to detail. Ability to identify data quality issues, inconsistencies, and patterns in large datasets.
- Strong interpersonal and communication skills to effectively collaborate with insurers, cross-functional teams, and stakeholders. Ability to translate technical concepts into non-technical terms and present insights to diverse audiences.
- Proactive mindset with the ability to identify data quality challenges, propose solutions, and implement process improvements. Strong critical thinking and problem-solving skills to address complex data quality issues.
- Role is located at the Client Innovation Centre in Bedford, Nova Scotia or Client Innovation Centre in Fredericton, New Brunswick
By fulfilling your role as a Data Quality Analyst, you will contribute to maintaining the integrity of data within the P&C insurance industry, supporting informed decision-making, and driving overall industry efficiencies. Your expertise and dedication will play a pivotal role in enhancing data analysis capabilities and promoting a culture of data-driven excellence.
**Required technical and professional expertise**
Experience in the Property & Casualty - Automobile Insurance industry in Canada, with a deep understanding of insurance operations and the insurance industry value chain
- Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
- Strong analytical skills with the ability to collect, analyze, and interpret complex data sets.
- Familiarity with the property and casualty insurance industry, its products, processes, and data requirements. Understanding of industry regulations, data management frameworks, reporting standards, and data governance practices is advantageous.
**Preferred technical and professional experience**
* Work closely with insurance companies to ensure accurate and timely data submissions. Collaborate with insurers to identify and resolve data quality issues, ensuring adherence to industry standards and guidelines.
* Collect, analyze, and interpret data from insurance companies across the P&C insurance industry. Identify trends, patterns, and anomalies to generate valuable insights for decision-making processes, risk assessment, and industry performance evaluation.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.

Data Quality Lead Analyst

Mississauga, Ontario Citigroup

Posted 22 days ago

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Job Description

The Data Quality Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
FRMT Data Services platform is a global Data Repository built on Enterprise Data Standards and anchored to the Liquidity & Collateral management and reporting for the use of Treasury, Finance and Risk. One of the main responsibility of the team is data management by working closely with Chief Data Office (including Data Stewardship Support and Remediation) along with Finance, Risk & other Technology teams ensuring financial and contractual data readiness for Liquidity, Collateral & Capital related products.
The Data Quality Lead Analyst is a seasoned professional role with following responsibilities and qualifications
**Responsibilities:**
+ Devises methods for identifying data patterns and trends in available data sources.
+ Defines strategies to drive data quality measurement, produce data quality dashboards and reports, and implement data quality strategies to effectively govern data and improve data quality.
+ Works with data quality partners and Technology teams to identify and implement data quality tools. Identify critical data elements, data quality rules, thresholds, and other business requirements.
+ Mentor junior analysts.
+ Applies in-depth understanding and knowledge of how business integrates within the sub function; as well as coordinates and contributes to the objectives of the function and overall business.
+ Contributes to the development of new techniques and processes and for the aligned business.
+ Integrates subject matter and industry expertise within a defined area.
+ Responsible for own work to support business teams in assigned area.
+ Build data quality assessments and measurement of critical data utilized by Citi strategic systems and processes supporting Citi Global Functions and Sectors.
+ Responsible for the reviewing, analyzing and dispositioning of the results of those measurements as well as providing detail and summary reporting of the same.
+ Accountable for understanding and documenting systems, data flows and data quality rules driven from the profiling and assessments of critical data.
+ Analyze data quality issues
+ Interact with business and technical staff who support the Global Functions, ensuring the data quality scorecards are measuring fit for purpose data.
+ Secure approvals from Data Governance Officers on scorecard requirements and use (i.e., tollgate documentation).
+ Performs other job duties and functions as assigned.
+ Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflow for the area or function.
+ Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information.
**Qualifications:**
+ 5-8 years software experience preferred
+ High proficiency in MS Excel, Python, SQL for Data analysis
+ Ability to create BI tools such as, Qlikview and/or Tableau views for analysis
+ Problem Solving - Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations
+ Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources.
+ Outstanding written and oral communication, influencing and presentation skills - must be able to present and influence across organization level and functions.
+ A self-starter with ability to independently manage work and drive multiple deliverables concurrently.
+ Strong subject matter expertise regarding technology application control disciplines and technology infrastructure knowledge, with a sound understanding of the financial services provided by Citi.
+ Demonstrated capability and maturity to work in an individual capacity and must proactively seek out ways to enhance the mission and identify new data analysis needs.
+ Demonstrates experience in managing teams and managing integrated internal audit and assurance delivery within a matrix reporting environment.
+ Able to set priorities and discuss experience in adapting to emergent or dynamic requirements.
+ Quick learner, customer focused with ability to multi-task and work in a fast paced changing environment.
+ Forward looking with ability to mitigate and overcome any challenging roadblocks.
+ Ability to work well under pressure and manage to tight deadlines or unexpected changes in expectations or requirements in a heavily matrix organization.
**Must Have Skills**
+ 5+ years of Information Technology (IT)-related experience and expert level knowledge with current hands-on experience
+ Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques
+ Strong data analysis skills, excellent analytical and problem-solving skills
+ Able to demonstrate an expertise in identifying and resolving data quality issues - in data sets at rest and in flight
+ Proficient knowledge of data sourcing from NoSQL (i.e. Cassandra, Hadoop Database HBase, Mongo)
+ Demonstrated deep understanding of SQL syntax using various database engines (i.e. SQL Server, Oracle, Netezza, Terradata)
+ Proficient in Python or such scripting language and able to develop scripts to produce data analytics.
+ Proficient in the creation of data flow diagrams and documentation for data integration processes
+ Familiar with the financial services industry and/or regulatory environments
+ Experience in Data Governance - Data Quality, Data Lineage, Data Tracing
+ Organized and prepared to manage multiple parallel pieces of work
+ Prior experience working with remote teams
+ Demonstrated Project management and leadership skills
+ Consistently demonstrates clear and concise written and verbal communication
+ Ability to work as part of team and independently
+ Ability to switch gears into different modes as analyst and able to think quick solutions using available tools
+ Ability to manage and prioritize multiple assignments, and competing priorities in a rapidly growing, fast-paced environment
+ Ability to understand the long-term ("big picture") and short-term perspectives of situations
+ Interpersonal skills to interact with team members and clients
**Education:**
+ Bachelor's/University degree or equivalent experience
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**Job Family Group:**
Technology
---
**Job Family:**
Applications Development
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**Time Type:**
Full time
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**Primary Location Full Time Salary Range:**
$94,300.00 - $141,500.00
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
This advertiser has chosen not to accept applicants from your region.

Data Quality Assurance (QA) Engineer

Mississauga, Ontario goeasy

Posted today

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Job Description

Job Description

Join one of Canada’s fastest-growing companies and be part of something extraordinary – welcome to goeasy ! At goeasy, our people and culture are at the heart of everything we do, and we’re proud to be recognized for it. We’ve earned prestigious accolades such as Waterstone Canada’s Most Admired Corporate Cultures , Canada’s Top Growing Companies , and the TSX30 , highlighting us as one of the top performers on the TSX. We’re also honoured to be named a Greater Toronto Top Employer and recognized by Great Place to Work® as having the Best Workplaces for Women & Most Trusted Executive Teams , and included on TIME Magazine’s 2025 list of Canada’s Best Companies .  These honours reflect our commitment to fostering an inclusive, high-performance culture where talent thrives and innovation drives us forward.

As one of Canada’s leading alternative consumer lenders, we’re passionate about helping everyday Canadians create a brighter future. Our vision is to provide a path to a better tomorrow, today. We offer a full range of products, including non-prime leasing, unsecured and secured loans, and point-of-sale financing through easyhome , easyfinancial , and LendCare .

If you're seeking an exciting, high-growth environment where your contributions truly matter, we want to hear from you! Join us, and together, let's create a future of financial empowerment.

As one of Canada’s leading alternative consumer lenders, we’re passionate about helping everyday Canadians create a brighter future. Our vision is to provide a path to a better tomorrow, today. We offer a full range of products, including non-prime leasing, unsecured and secured loans, and point-of-sale financing through easyhome , easyfinancial , and LendCare .

If you're seeking an exciting, high-growth environment where your contributions truly matter, we want to hear from you! Join us, and together, let's create a future of financial empowerment.

We are seeking a Data QA Engineer to join our Data Engineering team. You will be responsible for ensuring data accuracy, reliability, and quality across our data pipelines and integrations. You will work closely with Data Engineers, DevOps, and Business Analysts to design and execute comprehensive testing strategies for ETL workflows, data transformations, and reporting solutions. This role focuses on automation, validation, and monitoring to deliver high-quality, production-ready data.

What will you be doing?

  • Design, develop, and execute data testing strategies to ensure accuracy and consistency across ETL pipelines.
  • Perform end-to-end data validation including schema checks, transformation rules, and business logic testing.
  • Collaborate with Data Engineers to identify data quality gaps and improve processes.
  • Build and maintain test automation frameworks for ETL, APIs, and data integration workflows.
  • Conduct root cause analysis of data anomalies and recommend fixes in collaboration with engineers.
  • Implement data quality rules and validation checks within tools like Azure Data Factory, Databricks, and Synapse.
  • Partner with DevOps teams to automate testing in CI/CD pipelines using Azure DevOps.
  • Monitor data pipelines, proactively identify issues, and drive resolution before impacting stakeholders.
  • Ensure compliance with data governance and security policies.
  • Maintain thorough documentation of testing procedures, test cases, and validation reports.
  • Ensure compliance with data governance and privacy regulations.
  • Monitor data pipeline performance and proactively identify and resolve bottlenecks or issues.
  • Implement performance tuning strategies to optimize data processing and reduce latency.
  • Collaborate with cross-functional teams, infrastructure teams, including analysts, and business stakeholders.

What experience do you have?

  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • 4+ years of experience in Data Quality Assurance, ETL testing, or data pipeline validation.
  • Strong expertise in SQL for writing complex queries, joins, and data validation scripts.
  • Experience with Azure Data Factory, Synapse, Databricks, on-premises (SSIS) and other cloud-based data platforms.
  • Hands-on experience with test automation frameworks and scripting languages like Python or PowerShell.
  • Familiarity with CI/CD pipelines using Azure DevOps or similar tools.
  • Knowledge of data warehousing, data lakes, and relational database concepts.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills with the ability to collaborate across engineering and business team

We offer a Flexible Work Program that provides you the ability to work three days onsite per week , from our Mississauga office.

Internal Applicants: please apply through the link and provide written endorsement from your current manager.

Why should you work for goeasy?

In keeping with our mission to create better tomorrows for our employees, each year goeasy commits to continuously enhancing its total rewards. Here are some of the perks we offer…

Financial Benefits:

  • RRSP matching and Employee Share Purchase Plan programs.
  • Annual bonus that rewards your hard work and dedication.
  • Employee discounts on furniture, electronics, and appliances.
  • MAT & PAT leave top-up.
  • Expand your financial knowledge through engaging Financial Literacy Learning opportunities.

Health and Lifestyle:

  • Enjoy company-paid volunteer days to give back to the community.
  • Access 24/7 healthcare with Virtual Doctor Appointments.
  • Personalize your benefits with a flexible modular benefits package.
  • Stay fit and energized with exclusive access to our on-site private gym at our head office.

Employee Perks:

  • Fuel your growth with the Tuition Assistance Program.
  • Double the impact of your generosity with Company Matched Charitable Donations.
  • Internal development training programs and platforms including job-specific training, career coaching, leadership excellence, mentorship, and many others.
  • Enjoy a state-of-the-art office space with perks like a games room, a healthy snack program, a fitness studio, free gated parking, and more!

Diversity, Inclusion, and Equal Opportunity Employment :

At goeasy, we believe that we can only be the best when people are able to bring their best selves to work every day. goeasy is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. As an equal opportunity employer, we are committed to providing accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process. Please let the talent acquisition team know if you require an accommodation during any aspect of the recruitment process and we will work with you to address your needs. 

Additional Information:

All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire. We thank all interested applicants; however, we will only be contacting those for interview who possess the skills and qualifications outlined above. 

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