Senior Project Manager

Virtusa; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Virtusa in Toronto is seeking a seasoned data governance specialist to lead enterprise governance initiatives, architecting scalable governance frameworks and Purview-based metadata management across source-to-consumption data flows.

You will partner with data engineers, IT and business stakeholders to implement data lineage, profiling, and certification processes, ensuring data quality and regulatory compliance across the organization.

Qualifications

• Hands on experience on Microsoft Purview setup implementation configuration is a must
• Enterprise Data Governance Framework Design and scale governance from scratch
• Metadata Management and Data Lineage mapping data flows end to end
• Data Quality engineering, profiling and enterprisewide quality benchmarks
• Data Lexicon and business glossaries to unify definitions
• Regulatory Compliance and data security controls (GDPR/CCPA/BCBS 239)

Responsibilities

• Change Management Governance Adoption and driving adoption of new data habits
• CrossFunctional Collaboration bridging between data engineers/IT and business stakeholders
• Data Stewardship Program Operations including RACI and data certification workflows
• Program Management with monitoring, dashboards, audits and DQ metrics

Skills

SQL complex queries

ETL Testing

Data Warehousing

Unix/Linux scripting

Database Platforms

Test Management Tools

Data Validation

Performance Testing for ETL

Tools

JIRA

HP ALM

Zephyr

Informatica

DataStage

Talend

Tableau

Power BI

Job description

Primary Skills

• SQL complex queries joins aggregations

Job Requirements

JD

• Hands on experience on Microsoft Purview setup implementaion configuration is a must
• Enterprise Data Governance Framework Design Deep understanding of how to architect implement and scale a governance framework from scratch
• Metadata Management Data Lineage Expertise in mapping data flows from source to consumption maintaining data catalogs and tracking technicaloperational metadata
• Data Quality DQ Engineering Standardization Ability to define DQ dimensions accuracy completeness validity etc establish profiling rules and set enterprisewide quality benchmarks
• Data Lexicon Semantics Profiling and building business glossaries to ensure uniform data definitions across disparate business units
• Regulatory Compliance Data Control Knowledge of risk frameworks privacy regulations like GDPR CCPA or BCBS 239 and implementing data accesssecurity controls

Responsibility

• Change Management Governance Adoption The soft power required to convince business and technical teams to adopt new data habits and cultural standards
• CrossFunctional Collaboration Bridge Building Acting as the translator between highly technical data engineersIT and nontechnical business stakeholders
• Data Stewardship Program Operations Setting up operating models defining RACI matrices for data ownersstewards and running formal data certification workflows
• Program Management Continuous Monitoring Leading regular governance councils managing audit logs tracking DQ metricsdashboards and steering enterprise data management initiatives

Primary Skills

• SQL complex queries joins aggregations
• ETL Testing Informatica DataStage Talend etc
• Data Warehousing Concepts StarSnowflake schema factdimension tables
• UnixLinux scripting for ETL validation
• Database Platforms Oracle SQL Server Teradata PostgreSQL
• Test Management Tools JIRA HP ALM Zephyr
• Data Validation Reconciliation Techniques
• Performance Testing for ETL jobs

Secondary Skills

• PythonScala Scripting
• CICD Tools Jenkins GitLab
• Reporting Tools Tableau Power BI
• AgileScrum Practices
• Communication Documentation

Work Experience

10-15Years