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Added 10 mins ago
Quality Assurance Supervisor
Organigram
Lac-Supérieur, QC
Reporting to the Senior Director & Head of Quality Canada, the successful candidate will be responsible for all areas of Quality Assurance in operations for Organigram’s Lac-Supérieur…
Added 10 mins ago
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Senior Applied Machine Learning Scientist
TD
Toronto, ON
- Full-time
…products that represent the future at TD, can all be driven with data, with a strong focus on…
Added 10 mins ago
V
Staff Software Developer / Développeur(se) logiciel principal(e)
Vention
Montreal, QC
- Full-time
Collaborate with stakeholders, including the team lead, tech lead, architects, product manager, UX/UI designer and senior executives
Added 10 mins ago
C&
Senior Financial Analyst – Sales
Church & Dwight Co., Inc.
Mississauga, ON
- Full-time
Are you a finance professional who thrives on turning data into insights and partnering with the business to drive results? Church & Dwight Canada is looking for a Senior Financial Analyst…
Added 10 mins ago
GD
Manufacturing Engineering Specialist, Intermediate
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Ottawa, ON
- Full-time
Assists more senior engineers at design reviews and product discussions, including those with external customers
Added 10 mins ago
MQ
Bilingual QA Analyst
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Markham, ON
- $60,000 to $63,000 CAD / year
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We are currently seeking a Bilingual Senior QA Analyst (English & French) to join our team in Markham, ON. The ideal candidate will have strong experience in software quality assurance,…
Added 10 mins ago
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Senior Machine Learning Engineer
TEEMA
Toronto, ON
- Contract
The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable…
Added 25 mins ago
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Database developer Smartstream TLM SME Senior Engineer
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- Full-time
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Added 25 mins ago
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Sr. Software Engineer - DevEx
VGS
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- Full-time
…directly into their stack, taming the complexity of payment data so they can move…
Added 25 mins ago
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Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence
Canadian Tire Corporation
Toronto, ON
- Full-time
…machine learning, generative AI and large-scale transaction data to identify customer shopping missions and behavioural patterns across hundreds of millions of transactions. Its outputs…
Added 25 mins ago
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Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
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- Full-time
…machine learning, generative AI and large-scale transaction data to identify customer shopping missions and behavioural patterns across hundreds of millions of transactions. Its outputs…
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- Full-time
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Added 40 mins ago
Senior Manager, Economics Advisory (Ottawa)
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Added 40 mins ago
Senior Forward Deployed Engineer (Gemini Enterprise)
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Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.
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Principal Product Designer
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Toronto, ON
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- Full-time
As a Forensic and Dispute Services Senior Manager (Bilingual FR/EN), you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service…
Added 40 mins ago
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Senior AI Engineer
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Toronto, ON
- Full-time
Internal Audit is replacing manual, spreadsheet-based processes with secure, real-time digital tools. As a Senior AI Engineer, you'll build the applications auditors use to plan, run, and…
Added 40 mins ago
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Senior Analytics Engineer
Level Access
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- Full-time
Level Access is hiring a Senior Analytics Engineer to own the data products that power trusted reporting, business decisions and AI experiences at Level. With an initial focus on GTM and…
Added 55 mins ago
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Principal Product Manager
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Remote, Canada
- Full-time
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Build alignment and conviction: Create clear, data-backed business cases that bring senior leaders and teams along.
Added 55 mins ago
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Category Growth Specialist, Protein
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…teams to develop comprehensive solutions for prospects. The Senior Analyst builds strong customer relationships and manages the onboarding process, transitioning new accounts to the sales…
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Senior Clinical Account Specialist Ottawa (ON) and Kingston (ON) - Johnson & Johnson MedTech, Electrophysiology
Johnson & Johnson Innovative Medicine
Markham, ON · Ottawa, ON
- Full-time
We are currently recruiting for a Senior Clinical Account Specialist based in Ontario to cover the Ottawa (ON) and Kingston (ON) territories.
Added 55 mins ago
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Associate Director, Broadcast Creative Producer
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- Full-time
…powered by 500+ in-house medical experts and award-winning data science and AI capabilities. Founded in 1997, we have offices in Toronto, New York, Oxford, London, Cambridge, Cardiff,…
Added 55 mins ago
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[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft
Montreal, QC
- Full-time
Gameloft Montreal is looking for a Senior Data Analyst to join the team working on Disney Dreamlight Valley, a cross-platform hybrid life-sim/adventure game!
Added 1 hour ago
CI
Senior Lease Analyst (6-Month Contract)
Colliers International
Mississauga, ON · Oakville, ON · Toronto, ON
- Full-time
The Senior Lease Administrator, Client Lead is responsible for managing Lease Administration functions and implementations, client and vendor relationships, and centralizing, establishing…
Added 1 hour ago
C
Senior Digital ASIC Verification Engineer
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Ottawa, ON
- $111,900 to $178,700 CAD / year
- Full-time
We are looking for an experienced Senior Digital ASIC Verification Engineer to join our top-level team. You will play a key role in verifying complex, highly integrated digital ASICs, with…

Zodiac Solutions, Inc

Data Governance Manager

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 12+ years of experience in enterprise data management, with strong expertise across Data Governance, Data Quality, Metadata, Data Lineage and Data Observability.
Posting language: English
Posted: Nov 4, 2026

Original job description

"12–16 years overall, including 7+ years in Data Governance/Data Management and 3+ years in a lead or architecture role

Must Have Technical/Functional Skills

12+ years of experience in enterprise data management, with strong expertise across Data Governance, Data Quality, Metadata, Data Lineage and Data Observability.

Proven experience defining and implementing enterprise Data Governance operating models, policies, standards, controls, stewardship structures, decision rights and governance forums.

Strong hands-on knowledge of business and technical metadata, data catalog, glossary, classification, ownership, critical data elements and end-to-end lineage.

Deep understanding of Data Quality frameworks, including profiling, rule design, controls, scorecards, issue management, root-cause analysis, remediation and continuous monitoring.

Experience establishing Data Observability capabilities spanning freshness, volume, schema, distribution, pipeline health, anomalies, incidents, service levels and operational dashboards.

Ability to integrate governance, quality, lineage and observability controls across cloud, lakehouse, data warehouse, data integration and analytics ecosystems.

Experience with one or more enterprise platforms such as Collibra, Informatica CDGC/Axon/EDC/IDQ, Microsoft Purview, Alation, Atlan, BigID, Monte Carlo, Bigeye, Databricks Unity Catalog or comparable tools.

Strong knowledge of data architecture, data modeling, ETL/ELT, APIs, batch/streaming pipelines, SQL and cloud data platforms such as Azure, AWS, Databricks or Snowflake.

Experience defining governance and quality KPIs/KRIs, control evidence, data issue workflows, auditability and executive reporting.

Good understanding of privacy, security, retention, regulatory and risk-management expectations relevant to financial services, including BCBS 239, GDPR/CCPA and data-control principles.

Proven experience leading discovery workshops, current-state assessments, target-state design, roadmaps, tool evaluations, implementation planning and adoption/change initiatives.

Strong consulting, stakeholder-management and communication skills, with the ability to engage business, risk, compliance, data, engineering and executive stakeholders.

Preferred certifications in DAMA/CDMP, DCAM, Collibra, Informatica, Microsoft Purview, cloud data platforms, data quality or related disciplines.

Roles & Responsibilities

Lead the design and implementation of an integrated Data Governance, Data Quality, Data Lineage and Data Observability capability for enterprise data platforms.

Translate business, regulatory, risk and technology needs into pragmatic governance policies, standards, controls, processes and implementation roadmaps.

Define the operating model, including accountable data owners, business and technical stewards, governance councils, RACI, escalation paths and decision rights.

Establish enterprise metadata, business glossary, data catalog, classification, critical data element and ownership practices.

Design Data Quality lifecycle processes covering profiling, rule definition, thresholds, monitoring, scorecards, issue triage, root-cause analysis and remediation governance.

Define and operationalize end-to-end lineage from source through transformations to reports, analytics, regulatory outputs and AI use cases.

Establish observability monitoring for data freshness, completeness, volume, schema, distribution, pipeline reliability, anomalies and data incidents; align alerts with support and remediation workflows.

Develop control frameworks, KPIs/KRIs, dashboards and executive reporting to demonstrate data health, control effectiveness, risk reduction and adoption.

Evaluate and configure governance tooling; define integration patterns with data platforms, ETL/ELT, BI, ticketing, CI/CD and cloud services.

Partner with data architecture, engineering, platform, security, privacy, risk and business teams to embed governance controls within delivery lifecycle and DataOps practices.

Lead workshops, architecture/design reviews, backlog prioritization, implementation governance, testing, release readiness and production adoption.

Manage risks, dependencies and issues; provide clear recommendations and escalate decisions requiring senior stakeholder intervention.

Mentor governance leads, data stewards, analysts and engineers; create reusable accelerators, templates, playbooks and knowledge assets.

Support solutioning, proposals, effort estimation, client presentations and capability development for Data Governance and Data Management opportunities.

Generic Managerial Skills, If any

Strong leadership and stakeholder-management skills across business, technology, risk, compliance and data organizations.

Excellent written, verbal and presentation skills for technical, business and executive audiences.

Consultative problem-solving approach with the ability to simplify complex governance and technology topics.

Experience leading cross-functional and geographically distributed teams and driving outcomes without direct authority.

Strong planning, prioritization, facilitation, negotiation, risk management and decision-making skills.

High ownership, accountability and attention to detail, with a focus on measurable adoption & sustainable operating practices.

Ability to mentor practitioners, influence senior stakeholders and establish an active data stewardship community.

Key Words to search in Resume

Data Governance, Data Quality, Data Lineage, Data Observability, Metadata Management, Data Catalog, Business Glossary, Critical Data Elements, Data Ownership, Data Stewardship, Governance Operating Model, Data Policies, Data Standards, Data Controls, DQ Rules, Data Profiling, DQ Scorecards, Data Issue Management, Root Cause Analysis, Data Health, Data Reliability, Freshness, Volume, Schema Drift, Distribution, Anomaly Detection, Pipeline Monitoring, Data SLAs, Data SLOs, Data Incidents, Collibra, Informatica CDGC, Axon, EDC, IDQ, Microsoft Purview, Alation, Atlan, BigID, Monte Carlo, Bigeye, Unity Catalog, Databricks, Snowflake, Azure, AWS, SQL, ETL, ELT, DataOps, Cloud Data Platform, BCBS 239, GDPR, CCPA, DCAM, DAMA, CDMP, BFSI, Financial Services

Pre-Screening Questionnaire

Describe an enterprise Data Governance program you led. What was the scope, your role, the operating model and the measurable outcome?

How have you integrated Data Governance, Data Quality, Lineage and Observability rather than implementing them as separate capabilities?

Explain how you define data ownership, stewardship, critical data elements, policies, standards, controls, RACI and governance forums.

Describe a Data Quality framework you implemented. How were rules, thresholds, scorecards, issues, root causes and remediation managed?

How have you captured and validated end-to-end lineage across source systems, transformations, data platforms and business or regulatory reports?

What Data Observability use cases have you implemented for freshness, volume, schema, distribution, pipeline health and anomaly detection? How were alerts operationalized?

Which governance, catalog, DQ, lineage and observability tools have you configured or implemented hands-on? Describe your depth in each.

Describe how you integrated governance tooling with cloud/lakehouse platforms, ETL/ELT, BI, ticketing and CI/CD processes.

How have you defined governance and data-health KPIs/KRIs and demonstrated business value, risk reduction or control effectiveness to executives?

Describe your experience with financial-services data risk or regulatory expectations such as BCBS 239, privacy, retention, auditability or regulatory reporting.

Tell us about a major governance adoption challenge. How did you influence stakeholders and embed sustainable stewardship practices?

What would your first 90-day approach be to assess the current state and establish a prioritized roadmap for this role?

Apply About employer

More about this job

Responsibilities

Lead the design and implementation of integrated enterprise capabilities for data governance, quality, lineage, and observability, including operating models, controls, metadata practices, monitoring, and reporting. Partner with business and technology teams to deliver governance tooling and adoption, manage implementation risks, and mentor practitioners and stewards.

Requirements

Requires 12–16 years of overall experience, including at least 7 years in data governance or data management and 3 years in a lead or architecture role. Candidates should bring deep expertise in governance, data quality, metadata, lineage, observability, cloud data platforms, and relevant tools, along with strong leadership and stakeholder-management skills; related certifications are preferred.

Skills

Data Governance
Data Quality
Data Lineage
Data Observability
Metadata Management
Data Catalogs
Data Stewardship
Data Architecture
Data Modeling
SQL
Cloud Data Platforms
Data Governance Operating Models
Data Quality Frameworks
Stakeholder Management
Regulatory Compliance
Leadership

Visa sponsorship

Not detected in the job text

Keywords

Data Governance
Data Quality
Data Lineage
Data Observability
Metadata Management
Data Catalog
Business Glossary
Critical Data Elements
Data Ownership
Data Stewardship
Governance Operating Model
Data Profiling
Data Quality Rules
Root Cause Analysis
Collibra
Informatica CDGC
Informatica Axon
Informatica EDC
Informatica IDQ
Microsoft Purview
Alation
Atlan
BigID
Monte Carlo
Bigeye
Databricks Unity Catalog
Snowflake
Azure
AWS
SQL

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