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K&K Global Talent Solutions INC.

Data Governance Lead

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Role : Data Governance Lead

Location: Toronto, ON (Hybrid)

Experience: 12+ years

Experience Required

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

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More about this job

Responsibilities

Lead the design and implementation of integrated data governance, quality, lineage, and observability capabilities, including operating models, policies, controls, metadata practices, and monitoring. Partner with business, technology, risk, and compliance teams to deliver governance tooling and workflows, report on data health and control effectiveness, and drive adoption.

Requirements

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

Skills

Data Governance
Data Management
Data Quality
Metadata Management
Data Lineage
Data Observability
Data Catalogs
Data Stewardship
Governance Operating Models
Data Architecture
Data Modeling
ETL/ELT
SQL
Cloud Data Platforms
Stakeholder Management
Risk Management

Visa sponsorship

Not detected in the job text

Keywords

Data Governance
Data Management
Data Quality
Metadata
Data Lineage
Data Observability
Data Catalog
Business Glossary
Data Stewardship
Critical Data Elements
Collibra
Informatica CDGC
Informatica Axon
Informatica EDC
Informatica IDQ
Microsoft Purview
Alation
Atlan
BigID
Monte Carlo
Bigeye
Databricks Unity Catalog
ETL/ELT
SQL
Azure
AWS
Databricks
Snowflake
BCBS 239
GDPR/CCPA

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