Data Governance Manager

Tekshapers; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Tekshapers is seeking a senior data governance leader to drive enterprise governance programs across data quality, lineage, metadata, and observability. The role requires hands-on expertise with major platforms and the ability to define operating models, policies, and stewardship structures.

You will engage across business, risk and engineering teams to implement governance and reporting frameworks. The candidate should demonstrate experience in cloud data platforms and end-to-end data

Qualifications

• 12+ years of 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 metadata, data catalog, glossary, classification, ownership and end-to-end lineage.
• Deep understanding of Data Quality frameworks, including profiling, rule design, controls, scorecards, issue management and remediation.

Skills

Enterprise data governance

Data quality

Metadata management

Data lineage

Data observability

Governance operating models

Policies and controls

Stakeholder management

SQL

Cloud data platforms

Data architecture

Regulatory compliance

Certifications (DAMA/CDMP etc.)

Tools

Collibra

Informatica CDGC/Axon/EDC/IDQ

Microsoft Purview

Alation

Atlan

BigID

Monte Carlo

Bigeye

Databricks Unity Catalog

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.