Role: Data Steward

Location: Toronto, ON

Responsibilities:

• Experience: 1-4 years of applied data governance and Artificial Intelligence (AI) experience, with expertise in managing unstructured data.
• Microsoft Products: Expert in Microsoft products like PowerPoint and Excel.
• Communication Skills: Excellent communication and presentation skills.
• Mindset: Agile, practical, customer service-oriented mindset, with a passion for learning and working in a fast-paced environment.
• Industry Experience: Experience in financial services and insurance is an asset.
• Clearance: Must be Protected-B Clearance ready, obtained from the RCMP.
• Certifications: Data certification in Data Management or Data Governance is an asset (e.g., DGSP or CDMP).
• Technical Knowledge: Working knowledge of data governance and management technology (e.g., Collibra, Microsoft Purview).
• Regulatory Compliance: Understanding of data governance and AI principles, attention to detail, time management, and problem-solving abilities.
• Metadata Analysis: Experience in metadata analysis and tagging, using Microsoft products, Purview, and minimal SQL coding via Databricks.
• Communication: Ability to communicate technical details to business users.
• Monitoring and Testing: Monitoring and testing functionalities and environments.
• Role Profile:
• As the Subject Matter Expert (SME) and key point of contact for those creating and consuming data within their domain, the Data Steward Specialist works with various data governance stakeholders to establish data management standards for the company's Enterprise Platform (EP) project. This includes:
• Critical Data Elements (CDEs): Analyze existing data documentation to identify CDEs, define and document data definitions, data mapping, business rules, data classification, and data quality (DQ) rules for CDEs.
• Data Access Requirements: Define data access requirements for EP data.
• Policy Establishment: Contribute to the establishment of historical data retention policy, compliance/privacy policy, and security policy.
• Business Support: Support business users with data questions and facilitate discussions to help them understand and access EP data required for their business decisions.
• Data Governance Roadmap: Work with stakeholders to implement actions outlined in the Data Governance Roadmap, including building data glossaries, defining CDEs, and DQ rules.
• Data Awareness: Spread data awareness across the organization and promote data literacy and data-driven decisions to maximize the use and value of data for the business.
• Certifications Required:
• Protected-B Clearance: Must be ready to obtain Protected-B Clearance from the RCMP.
• Data Certification: Data certification in Data Management or Data Governance is an asset (e.g., DGSP or CDMP).

Regards

Praveen Kumar

Talent Acquisition Group - Strategic Recruitment Manager