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

Teranet

Senior Data Governance Analyst

Toronto, ON · On-site

Senior Data Governance Analyst Who We Are Teranet is Canada's leader in the delivery and ... Translate policy, risk, data management, and business requirements into practical workflows ...

MCAP

Senior Data Analyst

Toronto, ON · On-site

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst ... are managed. This role works together with business units, and internal technology teams to ...

MCAP

Senior Data Analyst

Toronto, ON · On-site

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst ... are managed. This role works together with business units, and internal technology teams to ...

SPECTRAFORCE

Senior Data Analyst

Toronto, ON · Hybrid

CA$50/hr

Senior Data Analyst Contract Length: 12 Months with possible extension Location: Toronto, ON ... Strong stakeholder management and presentation skills. Applicant Notices & Disclaimers * For ...

Bits In Glass

Sr. Data Engineer

Toronto, ON · Remote

We're seeking a Senior Data Engineer to join our Delivery Team. In this role, you'll design and ... Deep practical knowledge of building and managing reliable, self-managing ETL/ELT pipelines using ...

New

NorthEastern

Senior Data Analyst

Toronto, ON · On-site

About the Opportunity Job Summary Under the supervision of the Data Quality & Research Administration Analytics Manager and with support of senior level team members, the Senior Data Analyst will ...

Ontario 407

Senior Data Scientist

Woodbridge, ON

CA$120K - CA$165K/yr

Senior Data Scientist Department: Data Science and Analytics Location: 6300 Steeles Ave West ... Support the Department along with the Information Technology Management Department in planning the ...

DAC Group

Senior Data Scientist

Toronto, ON · On-site

Move Your Career Forward with DAC a Senior Data Scientist Who We Are We are DAC-a global full ... Client & Stakeholder Management * Present findings and recommendations directly to C-suite ...

PRI Global

Data Scientist

Toronto, ON · On-site

Sr. Data Scientist Toronto, Canada 18 months contract We are seeking a highly skilled and motivated ... Experienced in data management and data mining with SQL, optimizing performance, building data ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... Establish and maintain data quality validation frameworks, lineage tracking, metadata management ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... Establish and maintain data quality validation frameworks, lineage tracking, metadata management ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... Establish and maintain data quality validation frameworks, lineage tracking, metadata management ...

Euna Solutions

Senior Data Engineer

Oakville, ON · Hybrid

CA$127K - CA$155K/yr

You are recruited early and help stand up the managed foundation alongside the architect, then ... Senior data engineering experience, typically 6+ years, building and operating production pipelines ...

Teranet

Senior Data Analyst

Toronto, ON · On-site

Senior Data Analyst Who We Are Teranet is Canada's leader in the delivery and transformation of ... We also market insightful property and data solutions, as well as practice management automation to ...

CorGTA

Senior Data Engineer

Toronto, ON · Hybrid

CA$100/hr

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month ... 360) and Salesforce Loyalty Management * Develop automation solutions that reduce manual ...

Morningstar, Inc.

Senior Data Engineer

Toronto, ON · On-site

CA$90K - CA$132K/yr

The Role: We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in ... Manage SQL scripts, Python code, and Snowflake objects in a structured and maintainable way. * Use ...

Omers

Senior Data Engineer

Toronto, ON · On-site

Reporting to the Manager, Software Engineering, the Senior Data Engineer works across investment teams including Capital Markets, Infrastructure, Private Equity, Private Capital and Ventures, and ...

Talent To Hire Inc.

Senior Data Engineer

Toronto, ON · Remote

CA$110K - CA$145K/yr

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a ... We are looking for Data Engineers with proven track record working within the Wealth Mgmt. / ...

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Senior Data Manager information

What is a senior data manager?

A Senior Data Manager is a professional responsible for overseeing the collection, management, and analysis of large sets of data within an organization. They ensure data quality, integrity, and security, and often lead a team of data professionals such as analysts and data engineers. Senior Data Managers collaborate with IT, business, and analytics teams to support data-driven decision-making and compliance with data regulations. They typically have several years of experience in data management, strong technical skills, and leadership abilities.

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

To thrive as a Senior Data Manager, you need expertise in data management principles, database design, and statistical analysis, usually backed by a degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL, Oracle), data integration tools, and certifications like CDMP or DAMA are highly valued. Leadership, problem-solving, and effective communication are critical soft skills for managing teams and collaborating across departments. These skills ensure accurate data governance, efficient project execution, and the alignment of data strategy with business goals.

What are some typical challenges faced by senior data managers when implementing new data governance policies?

Senior Data Managers often encounter challenges such as resistance to change from stakeholders, integrating new policies with existing legacy systems, and ensuring consistent data quality across departments. Effective communication and cross-team collaboration are crucial to overcome these hurdles, as is providing ongoing training to staff. Additionally, Senior Data Managers need to balance compliance requirements with business objectives to ensure that new policies are both practical and sustainable.

What is the difference between Senior Data Manager vs Data Analyst?

AspectSenior Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees data teams, manages data systems, and ensures data qualityAnalyzes data sets, creates reports, and supports decision-making
Employer & Industry UsageUsed in corporate, healthcare, finance sectors for data governanceCommon in marketing, research, and business intelligence roles

The main difference is that Senior Data Managers focus on overseeing data operations and strategy, while Data Analysts primarily analyze data to generate insights. Senior Data Managers have broader responsibilities in data governance and team management, whereas Data Analysts concentrate on data interpretation and reporting.

How much does a senior data manager get paid?

The average salary for a senior data manager typically ranges from $90,000 to $130,000 annually, depending on experience, industry, and location. They often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

What does a senior data manager do?

A senior data manager oversees the collection, organization, and analysis of data within an organization. They develop data management strategies, ensure data quality and security, and often use tools like SQL and data visualization software to support decision-making. This role typically requires strong leadership skills and experience in data governance and analytics.

What are the most commonly searched types of Senior Data jobs in Toronto, ON?

The most popular types of Senior Data jobs in Toronto, ON are:

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

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

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

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

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

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

Senior Data Manager jobs near you
Infographic showing various Senior Data Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Product Manager, Data & Intelligence

NearSource

Toronto, ON • Remote

Full-time

Posted 10 days ago

Key responsibilities

  • Translate strategic business goals and stakeholder needs into product roadmaps, plans, and requirements.

  • Lead product discovery, define user needs, workflows, and desired outcomes with business and technical teams.

  • Manage product backlogs, dependencies, risks, and stakeholder communications throughout the product lifecycle.

Job description

Job Title: Senior Data Product Manager, Data & Intelligence
Job Location: 100% Remote, Canada
Job Type: T4 Contract
Experience: 8+ Years
Rate: CAD 70 - 78 per hour

Role Summary: NearSource is looking for a Senior Data Product Manager, Data & Intelligence to translate strategic business priorities and stakeholder needs into scalable, trusted, and actionable enterprise data products.

The role operates at the intersection of business strategy, data, analytics, and engineering, driving product roadmaps, requirements, prioritization, and cross-functional delivery for complex data and intelligence initiatives.

Key Responsibilities

  • Translate strategic business goals and stakeholder needs into product roadmaps, product plans, epics, releases, and actionable requirements.
  • Lead product discovery with business stakeholders and technical teams to define user needs, use cases, workflows, and desired outcomes.
  • Own product prioritization based on customer value, strategic alignment, dependencies, technical feasibility, and implementation effort.
  • Partner with Engineering Managers, Technical Leads, Data Engineers, Analysts, Data Scientists, Business Intelligence teams, and Data Governance specialists throughout the product lifecycle.
  • Manage product backlogs, requirements, dependencies, risks, acceptance criteria, release readiness, and stakeholder communications.
  • Ensure technical solutions remain aligned with defined business and user outcomes.
  • Drive alignment across business and technical stakeholders by communicating priorities, decisions, trade-offs, risks, and progress.
  • Establish feedback loops and success measures to improve product quality, adoption, scalability, and business impact.
  • Identify opportunities for standardization, reuse, simplification, and automation to reduce one-off solutions.
  • Translate ambiguous strategic objectives into clear, prioritized, and executable product plans for technical delivery teams.
  • Drive delivery of trusted, reusable, and scalable data and intelligence products that support Go-to-Market decision-making.

Must-Have Skills

  • 8+ Years of experience as a Data Product Manager, Technical Product Manager, Product Manager, or similar role working with technically complex products.
  • Strong experience in strategic planning and translating business objectives into actionable product roadmaps.
  • Strong stakeholder management experience across business and technical teams.
  • Hands-on experience with analytics and data science products.
  • Experience with product discovery, roadmap development, prioritization, and requirements definition.
  • Experience managing epics, releases, product backlogs, dependencies, and acceptance criteria in an Agile environment.
  • Proven ability to translate ambiguous business problems and stakeholder needs into clear and executable product plans.
  • Experience partnering closely with engineering or technical development teams.
  • Working knowledge of data models, data pipelines, APIs, data quality, data governance, analytical platforms, or enterprise data products.
  • Strong written and verbal communication skills, including the ability to communicate complex technical concepts to non-technical stakeholders.

Nice-to-Have Skills

  • Experience with Customer Data Governance or Master Data Management.
  • Experience with Customer 360, customer identity, entity resolution, account hierarchies, match/merge, or deduplication.
  • Experience with third-party data ingestion, data enrichment, data quality, reconciliation, or exception management.
  • Experience with policy-driven data workflows, controls, audibility, or automation.
  • Experience with enterprise analytical data platforms, data warehouses, or lake house environments.
  • Experience with governed datasets, shared metrics, data definitions, or semantic consistency.
  • Experience with BI products, dashboard consolidation, migration, or rationalization.
  • Experience with embedded analytics or intelligence within enterprise applications.
  • Experience with predictive analytics, machine learning, recommendation, scoring, or decision-support products.
  • Experience with model explainability, experimentation, or hypothesis-driven product development.
  • Experience operationalizing analytical models and insights within business workflows.
  • Experience delivering intelligence or analytics through CRM platforms such as Salesforce.
  • Experience working in a complex, globally distributed enterprise environment.

Relevant Data Product Experience

Candidates should demonstrate meaningful experience in at least one of the following areas:

  • Customer Data Governance: Master Data Management, Customer 360, customer identity, entity resolution, account hierarchies, data quality, governance, reconciliation, and automated controls.
  • Customer Intelligence at Scale: Enterprise data and analytics platforms, governed datasets, shared metrics, data enrichment, product-ionized intelligence, BI products, embedded analytics, and AI-enabled data experiences.
  • Strategic Data Research and Data Science Products: Predictive analytics, machine learning, propensity and recommendation models, scoring products, model explainability, experimentation, and operationalized analytical insights.

Apply now, or share your resume with salary expectations at careers@nearsource.ca. Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.

Equal Opportunity: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.