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Position: Data Governance Analyst Duration: 1 year to start HYBRID in Toronto (must be open to going onsite at client - 1 - 2 times a week) Associate need to be eligible ProB Clearance and also work from client office in Toronto in hybrid mode. Job Summary The Data Governance Analyst it is part of the Enterprise Data Governance Team at Canada Life and plays an essential role the advancement of our data strategy and maintenance of existing Data Governance Practices and will be focused on unstructured data for a project called DAMP. This role provides the opportunity to balance enablement of our business with the governance of our data assets to ensure the trust and protection of the data. Responsibilities The Data Governance Analyst it is part of the Enterprise Data Governance Team at Canada Life and plays an essential role the advancement of our data strategy and maintenance of existing Data Governance Practices and will be focused on unstructured data for a project called DAMP. This role provides the opportunity to balance enablement of our business with the governance of our data assets to ensure the trust and protection of the data in our care. The successful candidate will join a skilled team of like-minded colleagues who are naturally curious, collaborative and strive to make sense of our data, protect it and work to enable the business to advance their data roadmaps. What you will do Support the development, maintenance, and enhancement of data governance standards, processes, and practices with focus on managing and operationalizing requirements for Unstructured Data Support the implementation and adoption of data governance across the enterprise. Work with technology and business users to ensure our data is understood and reflected in our Data Inventory to enable people to find what, when and why they need. it for Analyzing and interpreting data discovery results, identifying potential issues related to data governance, privacy, security, and other related policies and standards 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 unstructured data e.g., if firm mandates CCN should be encrypted and DAM solution Identifies plain text CCN, right to be to be forgotten Tracking and triage on unstructured 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 Support requirement definition and analysis and build in the enterprise data platform, connecting people to the data they need Support strategic decisions, issues, risks, and milestones related to data initiatives What you will bring 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) Excellent communication and presentation skills Agile, practical, customer service-oriented mindset (doesnt over complicate processes) Experience in financial services and insurance is an asset Must be Protected-B Clearance ready, obtained from the RCMP 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) Tracking and Triage of results for flagged rules on unstructured/digital data (e.g., Bill 64 Rule 25, PIPEDA, PCI DSS)/ rule violation instances Any specific tools/skillset Understanding of data governance and Artificial Intelligence (Al) principles Attention to detail, time management, and analyzing and problem solving abilities Experience in metadata analysis and tagging Microsoft products excel, Purview and using minimal SQL coding via Databricks to assist with developing regular expressions. Utilizing Collibra or other data governance toolset Ability to communicate technical details to a business user Monitoring and testing functionalities and environments Good to have with knowledge and experience in utilizing data discovery tools such as Big ID, Securit.ai, etc.