Int. Data Steward Specialist with Data Governance technology (Purview, Collibra) experience for our Insurance Client
S.i. Systems
Toronto, ON-
Number of positions available : 1
- Salary To be discussed
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Contract job
- Published on April 25th, 2025
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Starting date : 1 position to fill as soon as possible
Description
Int. Data Steward Specialist with Data Governance technology (Purview, Collibra) experience for our Insurance Client
Work Style: Hybrid - 3 days in office (Toronto or London, ON)
End Date: 8-month tenure (Extensions Likely)
Job Description
As the Subject Matter Expert (SME) and the key point of contact for those creating and consuming data within their domain, the data steward Specialist works with various data governance stakeholders to ensure the establishment of data management standards for the company’s Enterprise Platform (EP) project, including the following:
- Analyze existing data documentation to identify Critical Data Elements (CDEs), define and document data definitions, data mapping, business rules, data classification, data quality (DQ) rules for CDEs
- Define data access requirements for EP data
- Contribute to the establishment of historical data retention policy, compliance/privacy policy and security policy
- Support business users with data questions and facilitate discussion to help them understand data and get access to EP data required for their business decisions
- Work with stakeholders to implement and carry out actions outlined in the Data Governance Roadmap for the company to successfully implement Data Governance structure and processes, including building data glossaries, defining CDEs and DQ rules
- Spread data awareness across the organization and ensure data literacy and data-driven decisions are promoted to maximize the use and value of data for the business.
- Work closely with the data owner to make sure data is protected and used for authorized purposes only
- Collaborate with business users and the technical team to make data availability easy and simple for users
- Implement and adopt data quality strategy, profile data assets, and define proactive and reactive DQ rules for specific domains
- Identify and oversee the data quality issues, maintain issue repository, and work with the technical team to manage resolution
- Perform audits, risk assessments to make sure data governance process and policies are followed diligently and identify data-related process improvement opportunities
- Support efforts to build metadata repositories, business glossary, data lineage, and training materials
- Review enterprise data assets to define attributes, identify CDE and classify and establish KPIs for their domains
- Create a data catalog that defines and organizes all sensitive data elements (MS Purview, Collibra, etc.)
- Remediating sensitive data handling gaps identified by data solution with focus on securing data for the specific business domain/s (e.g., if firm mandates CCN should be encrypted and identifies plain text CCN, right to be to be forgotten)
- Tracking and triage on data being retained for more than the retention duration and find solutions to remediate
- Apply knowledge in Data Loss Prevention (DLP), encryption, data classification & handling, End User Computing (EUC), Personal Information (PI) for Privacy
What you will bring
- Must hold or be eligible for Enhanced Security Clearance (Requirement = living in Canada for 5+ years, PR/Citizen)
- 1-4 years of applied data governance and Artificial Intelligence (AI) experience with expertise in managing unstructured data
- Expert in Microsoft products (PowerPoint and Excel)
- Data certification in Data Management or Data Governance an asset (e.g. DGSP or CDMP)
- Working knowledge of data governance and management technology an asset (e.g. Collibra, Microsoft Purview)
- Experience in metadata analysis and tagging; Microsoft products excel, Purview and using minimal SQL coding via Databricks to assist with developing regular expressions.
- Tracking and Triage of results for flagged rules on unstructured/digital data (e.g., Bill 64/Rule 25, PIPEDA, PCI DSS)/ rule violation instances
Requirements
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