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QI
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Quality IT Resourcing

Data Governance and Strategy Lead

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 10, 2026
Posting language: English
Posted: Nov 10, 2026

Original job description

Location: Toronto, ON

Hybrid

Duration: Initially 4 months starting Jan 2027

Lead stakeholder interviews, surveys and working sessions
Assess the current operating model, governance practices, controls and third-party data arrangements
Define governance requirements and responsibilities covering data ownership, access, privacy, security, retention, lineage and data quality
Establish the current-state cost baseline
Support use-case prioritization, roadmap development and business-case analysis
Develop the data governance framework and contribute to the current-state assessment and roadmap

Minimum requirements

Experience conducting data governance assessments and developing practical governance frameworks
Experience defining data ownership, stewardship, access, privacy, security, retention, lineage and data-quality requirements
Experience assessing governance controls and third-party or vendor-managed data arrangements
Experience assessing data operating models, including roles, responsibilities and decision rights
Ability to independently lead stakeholder sessions and convert findings into requirements and deliverable content
Experience supporting cost analysis, roadmap development or business-case economics

Nice to have

Public-sector or regulated-organization experience
Familiarity with SAS Viya or SAS Customer Intelligence 360 environments
Experience governing customer, marketing and digital-behavior data, including privacy and consent
Exposure to governance and controls for cloud data platforms (such as Snowflake or Databricks) and managed-cloud hosting models
Experience contributing to current-state cost baselines for data platforms and hosting

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More about this job

Responsibilities

Lead stakeholder interviews, surveys, and working sessions to assess the current data operating model, governance practices, controls, and third-party data arrangements. Establish a cost baseline and develop governance requirements, a practical framework, use-case priorities, a roadmap, and business-case analysis.

Requirements

Requires experience assessing data governance and developing practical frameworks, including requirements for ownership, stewardship, access, privacy, security, retention, lineage, and data quality. Candidates must be able to independently lead stakeholder sessions and translate findings into deliverables, with experience in operating-model and control assessments; cost analysis, roadmap, or business-case experience is also required.

Skills

Data Governance
Governance Framework Development
Data Ownership
Data Stewardship
Data Access Management
Data Privacy
Data Security
Data Retention
Data Lineage
Data Quality
Operating Model Assessment
Governance Controls Assessment
Third-Party Data Governance
Stakeholder Facilitation
Roadmap Development
Cost and Business-Case Analysis

Visa sponsorship

Not detected in the job text

Keywords

Data Governance
Governance Framework
Data Operating Model
Data Ownership
Data Stewardship
Data Access
Privacy
Security
Data Retention
Data Lineage
Data Quality
Governance Controls
Third-Party Data
Vendor-Managed Data
Stakeholder Interviews
Surveys
Working Sessions
Cost Baseline
Use-Case Prioritization
Roadmap Development
Business-Case Analysis
SAS Viya
SAS Customer Intelligence 360
Customer Data
Marketing Data
Digital-Behavior Data
Privacy and Consent
Snowflake
Databricks
Managed-Cloud Hosting

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