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Data Privacy Manager Jobs in Toronto, ON (NOW HIRING)

Data Analyst

Toronto, ON

CA$94K - CA$136K/yr

The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency ... Support data classification, access policy definition, and privacy-by-design principles in ...

Data Analyst

Unionville, ON

CA$94K - CA$136K/yr

The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency ... Support data classification, access policy definition, and privacy-by-design principles in ...

... data management practices. This role focuses on ensuring that data is accurate and uniformly ... Help ensure alignment with privacy, compliance, and regulatory requirements by applying established ...

Privacy, Legal Counsel Manager

Toronto, ON · On-site

CA$116K - CA$166K/yr

Providingstrategicadvice on privacy, data governance, and information protection, including breach management in the absence of thePrivacy &Intellectual Property Lead * Acting as a member of the ...

Ensure compliance with data privacy and internal governance standards * Ensure data quality and ... Experience building Extract, Transform & Load (ETL) processes and managing data pipelines across ...

Ensure compliance with data privacy and internal governance standards * Ensure data quality and ... Experience building Extract, Transform & Load (ETL) processes and managing data pipelines across ...

Manage functional mailboxes * Daily reporting, KPI and scoreboard * Maintain stock management ... Ability to lift upto 25 lbs occasionally We value your data privacy and therefore do not accept ...

Assist management with warehouse initiatives * Other Processes * * Closely work with shift team ... Ability to rotate and work day shift if required We value your data privacy and therefore do not ...

Ensure responsible and compliant AI adoption, aligned with AI governance, model risk management, data privacy, and security controls . * Guide the integration of AI/ML capabilities into analytics ...

... Fluent's data privacy standards. * Apply AI-assisted development practices, using tools such as ... In addition we offer a fully stocked kitchen, catered breakfast and lunch, and our office manager ...

... Fluent's data privacy standards. * Apply AI-assisted development practices, using tools such as ... In addition we offer a fully stocked kitchen, catered breakfast and lunch, and our office manager ...

Showing results 21-40

Data Privacy Manager information

See Toronto, ON salary details

$26.7K

$116.2K

$189.4K

How much do data privacy manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data privacy manager in Toronto, ON is $116,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,844.00 and $137,424.00 per year, depending on experience, location, and employer.

What does a Data Privacy Manager do?

A Data Privacy Manager is responsible for ensuring an organization complies with data protection regulations and best practices. They develop, implement, and oversee data privacy policies, conduct risk assessments, and work with legal and IT teams to safeguard sensitive information. Their role also includes training employees on data privacy, responding to data breaches, and staying updated on evolving privacy laws.

What are the key skills and qualifications needed to thrive as a Data Privacy Manager?

To thrive as a Data Privacy Manager, you need a deep understanding of data protection laws (such as GDPR, CCPA), risk assessment, and information security principles, usually backed by a relevant degree and experience in data governance or compliance. Technical proficiency with data mapping, compliance management platforms, and certifications like CIPP or CIPM is often required. Strong communication, project management, and problem-solving skills help you effectively collaborate with stakeholders and lead regulatory initiatives. These competencies are essential to ensure organizational compliance, minimize legal risks, and build trust with clients and partners.

What are some typical challenges a Data Privacy Manager faces on the job?

Data Privacy Managers often encounter the challenge of keeping up with rapidly evolving privacy regulations and ensuring ongoing compliance across multiple jurisdictions. They must balance business needs with stringent privacy requirements, which can involve negotiating with various departments to implement necessary data protection measures. Additionally, responding to data breaches or privacy incidents quickly and effectively is a key part of the role. Overcoming these challenges requires strong attention to detail, ongoing training, and a collaborative approach to working with legal, IT, and business teams.

What is the role of a data privacy manager?

A data privacy manager is responsible for developing and implementing policies to protect sensitive data and ensure compliance with privacy regulations such as GDPR or CCPA. They conduct risk assessments, oversee data handling practices, and coordinate training to minimize data breaches and privacy violations.

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

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

What job categories do people searching Data Privacy Manager jobs in Toronto, ON look for?

The top searched job categories for Data Privacy Manager jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Privacy Manager jobs?

Cities near Toronto, ON with the most Data Privacy Manager job openings:

Infographic showing various Data Privacy Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $116,216 per year, or $55.9 per hour.

CA$94K - CA$136K/yr

Full-time

Posted 9 days ago


Job description

Reference no. R2867765 

Position title: Data Analyst

Department: Diamond

Location: Toronto, ON

About the job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.  

Reporting directly to the Sales and Demand Insights Data Product Manager, the Data Analyst (L2) is responsible for managing, analyzing, and transforming commercial data into AI-ready, trusted assets that power business decisions across US Brands.

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a commitment to Sanofi's AI-Ready Data principles: Understood, Trusted, Safe, and Shared.

About Sanofi 

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. 

Main Responsibilities:

AI-ENABLED ANALYTICS AND INSIGHT GENERATION

  • Leverage AI and machine learning tools and techniques, including generative AI and statistical models, to identify patterns, trends, and high-leverage insights from large commercial datasets

  • Develop and maintain AI-ready datasets, ensuring data is structured, governed, and fit-for-purpose for use in AI and ML solutions across US Brands

  • Apply Sanofi's Responsible AI (RAISE) framework principles when building or consuming AI-powered analytics, ensuring transparency, fairness, and ethical use

  • Explore opportunities to integrate AI and ML capabilities such as predictive demand modeling, sales forecasting, and segmentation into the Sales and Demand Insights product

DATA ANALYSIS AND BUSINESS INTELLIGENCE

  • Analyze large datasets to identify trends, patterns, and actionable insights that drive commercial decisions

  • Leverage data and facts to challenge conventional wisdom, form evidence-based conclusions, and identify high-leverage intervention points

  • Identify and analyze business needs that support the product strategy, harmonizing across business areas for a unified commercial data foundation for all US Brands

  • Communicate solution trade-offs clearly to frame and influence project decisions

DATA ENGINEERING AND AI-READY DATA DEVELOPMENT

  • Design and define ingestion processes to ensure efficient data flow and integration aligned with Sanofi's Data Mesh architecture

  • Build and maintain data pipelines that meet Sanofi's AI-Ready Data standards: quality-scored, classified, governed, and discoverable in the Data Marketplace

  • Develop detailed functional specifications and test cases based on business requirements

  • Apply strong understanding of data warehousing concepts including design patterns and ETL and ELT load strategies

DATA QUALITY AND GOVERNANCE

  • Implement and monitor Data Quality rules in line with Sanofi's AI-Ready Data standards covering accuracy, completeness, consistency, and timeliness

  • Ensure datasets are scored via Informatica CDGC and remediated when below defined quality thresholds

  • Support data classification, access policy definition, and privacy-by-design principles in compliance with Data Privacy, GxP, SOX, and cybersecurity requirements

  • Collaborate with Business Data Stewards and Digital roles to maintain shared data ownership and accountability

INNOVATION AND CONTINUOUS IMPROVEMENT

  • Proactively monitor industry, functional, and technology trends, particularly in AI and ML, generative AI, and commercial analytics

  • Identify new opportunities to leverage data and integrate internal and external sources to enhance business value

  • Aggregate and evaluate digital data sources including web, email, social media, and CRM to enrich commercial insights

About You

Required Qualifications:

  • Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field

  • Minimum 3 years of experience in data analysis, data manipulation, and data management

  • Expert proficiency in SQL and data querying

  • Proficiency in Python for data analysis and AI and ML workflows

  • Hands-on experience building or consuming AI-ready datasets and working with AI and ML platforms

  • Familiarity with Responsible AI principles and ethical data use including bias, fairness, and transparency

  • Experience with data warehousing, Snowflake, ETL and ELT pipelines, and cloud platforms

  • Strong team player with the ability to collaborate effectively in a fast-moving, agile environment

Preferred Qualifications:

  • Experience in commercial pharmaceuticals, biotech, or healthcare

  • Familiarity with Sanofi's AI Foundry, Data Mesh, or Informatica CDGC

  • Knowledge of generative AI tools and large language model-based analytics applications

  • Experience with digital data sources including web analytics, CRM, email, social media, and TV

  • Knowledge of Six Sigma and Agile practices

Tools and technologies:

  • Snowflake, SQL, Python, Informatica, AWS

  • JIRA, Confluence

  • Microsoft Suite including Teams, Excel, and PowerPoint

  • Power BI or equivalent data visualization tools

SANOFI SKILLS PROFILE - DATA ANALYSIS L2

(Aligned to Sanofi Global Jobs and Skills Official Taxonomy 2025)

Technical Skills:

  • Structured Query Language - SQL (Experienced)

  • Data Visualization (Intermediate)

  • Applied Statistics (Experienced)

  • Data Modeling (Experienced)

Functional Skills:

  • Data Analytics (Intermediate)

  • Data Quality (Intermediate)

  • Data Management (Intermediate)

  • Responsible AI (Intermediate)

Transversal Skills:

  • Business Acumen (Experienced)

  • Communication (Experienced)

  • Decision Making (Intermediate)

  • Professional Collaboration (Experienced)

Why Choose Us?  

  • Bring the miracles of science to life alongside a supportive, future-focused team. 

  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. 

  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. 

  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs. 

This position is for a new vacant role that is now open for applications. 

AI Usage  

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,  Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.   

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request. 

#GD-SP ​ 
#LI-SP 

#LI-Onsite

#DBBCA

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.