Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 3 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Define and maintain enterprise data governance frameworks, standards, controls, dictionaries, glossaries, metadata repositories, and data lineage across data platforms and ODS environments. Collaborate with business and technology stakeholders in wealth and asset management to support data quality, compliance, stewardship, and cloud modernization initiatives using Snowflake.
Job details
Senior Data Governance Consultant / Data Analyst Location: Downtown, ON (3 days Downtown Toronto) Project: Full-Time Client: HCL Tech 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.
What you’ll do
Define and maintain enterprise data governance frameworks, standards, controls, dictionaries, glossaries, metadata repositories, and data lineage across data platforms and ODS environments. Collaborate with business and technology stakeholders in wealth and asset management to support data quality, compliance, stewardship, and cloud modernization initiatives using Snowflake.
Requirements
Requires 8–10 years of data management and governance experience, with strong knowledge of wealth management and global asset management. Candidates should have hands-on experience with ODS and enterprise data models, governance, metadata, data lineage, data quality, regulatory compliance, and Snowflake, along with strong stakeholder and communication skills.
Listed skills
- data management · Preferred
- Regulatory Compliance · Preferred
- Stakeholder Management · Preferred
- Communication · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Governance
- Data Management
- Wealth Management
- Global Asset Management
- Operational Data Store
- Enterprise Data Models
- Data Dictionaries
- Business Glossaries
- Metadata Management
- Data Lineage
- Data Quality
- Data Stewardship
- Regulatory Compliance
- Snowflake
- Stakeholder Management
- Communication
Job areas
- Data & Analytics
- Technology
- Consulting
- Finance & Accounting
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