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Senior Data Governance Consultant / Data Analyst

  • Toronto, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Contract
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Role: Senior Data Governance Consultant / Data Analyst

Location: Hybrid mandatory- 3 days Downtown Toronto Canada

Experience: 8-10 Years

We are seeking an experienced Data Governance Professional with strong expertise in Wealth Management and Global Asset Management domains. The candidate will be responsible for driving enterprise data governance initiatives, defining and maintaining data standards, and ensuring data quality across Operational Data Store (ODS) environments.

Key Responsibilities:

  • Define and implement Data Governance frameworks, standards, and controls across enterprise data platforms.
  • Manage and maintain Data Dictionaries, Business Glossaries, and Metadata repositories.
  • Develop and document Data Lineage to support regulatory, audit, and compliance requirements.
  • Work with Full Enterprise Data Models and ODS data structures to ensure consistency and data integrity.
  • Collaborate with business and technology stakeholders across Wealth Management and Asset Management functions.
  • Support data quality, metadata management, and stewardship activities.
  • Leverage Snowflake for data management, governance, analytics, and reporting initiatives.
  • Participate in data transformation and modernization programs involving cloud-based data platforms.

Required Skills:

  • 8-10 years of experience in Data Management and Data Governance.
  • Strong domain knowledge of Wealth Management and Global Asset Management.
  • Experience with ODS (Operational Data Store) and enterprise data models.
  • Hands-on expertise in Data Governance, Data Dictionary, Metadata Management, and Data Lineage.
  • Strong understanding of data quality, data stewardship, and regulatory compliance.
  • Hands-on experience with Snowflake Data Cloud.
  • Excellent stakeholder management and communication skills.

Preferred:

  • Experience with Data Catalog, Business Glossary, and Metadata tools.
  • Exposure to cloud data platforms, data warehousing, and data modeling techniques.
  • Experience working in Banking and Financial Services organizations.
More about this job

Responsibilities

Define and implement enterprise data governance frameworks, standards, and controls, while maintaining data dictionaries, business glossaries, metadata repositories, and data lineage. Ensure data quality and integrity across ODS environments and enterprise data models, collaborating with business and technology stakeholders on governance and cloud modernization initiatives.

Requirements

Requires 8–10 years of data management and governance experience, strong knowledge of Wealth Management and Global Asset Management, and hands-on experience with ODS, enterprise data models, metadata, data lineage, and Snowflake. Candidates should understand data quality, stewardship, and regulatory compliance and have strong stakeholder management and communication skills.

Skills

  • Data Governance
  • Data Management
  • Wealth Management
  • Global Asset Management
  • Operational Data Store (ODS)
  • Enterprise Data Models
  • Data Dictionaries
  • Metadata Management
  • Data Lineage
  • Data Quality
  • Data Stewardship
  • Regulatory Compliance
  • Snowflake
  • Stakeholder Management
  • Data Catalogs
  • Business Glossaries

Visa sponsorship

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Categories

  • Data & Analytics
  • Technology
  • Consulting
  • Finance & Accounting
  • Management & Leadership

Keywords

  • Data Governance
  • Data Management
  • Wealth Management
  • Global Asset Management
  • Operational Data Store (ODS)
  • Enterprise Data Models
  • Data Dictionaries
  • Business Glossaries
  • Metadata Repositories
  • Data Lineage
  • Data Quality
  • Data Stewardship
  • Regulatory Compliance
  • Snowflake Data Cloud
  • Data Catalog
  • Cloud Data Platforms
  • Data Warehousing
  • Data Modeling
  • Data Transformation
  • Data Modernization
  • Banking
  • Financial Services
  • Stakeholder Management

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