Data Governance Manager
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- 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
Original job description
Data Governance Lead
"""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.
More about this job
Responsibilities
Define and implement enterprise data governance models, policies, standards, controls, stewardship structures, and decision-making forums. Lead governance, data quality, lineage, and observability initiatives, including assessments, roadmaps, platform implementation, stakeholder engagement, and executive reporting.
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, metadata, data quality, lineage, observability, cloud data platforms, regulatory controls, and stakeholder leadership; relevant certifications are preferred.
Skills
- Data Governance
- Enterprise Data Management
- Data Quality
- Metadata Management
- Data Lineage
- Data Observability
- Governance Operating Models
- Data Catalogs
- Data Stewardship
- Data Quality Frameworks
- Data Architecture
- Data Modeling
- ETL/ELT
- SQL
- Stakeholder Management
- Regulatory Compliance
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Management & Leadership
- Consulting
Keywords
- Data Governance
- Data Management
- Data Quality
- Metadata
- Data Lineage
- Data Observability
- Data Catalog
- Business Glossary
- Data Classification
- Critical Data Elements
- Data Stewardship
- Governance Operating Model
- Data Profiling
- Root-Cause Analysis
- Data Quality Scorecards
- Collibra
- Informatica CDGC
- Informatica Axon
- Informatica EDC
- Informatica IDQ
- Microsoft Purview
- Alation
- Atlan
- BigID
- Monte Carlo
- Bigeye
- Databricks Unity Catalog
- BCBS 239
- GDPR
- CCPA