OTIP (Ontario Teachers Insurance Plan)

Insurance

• Identify clients' needs and recommend additions to their existing coverage
• Schedule client contacts and follow-ups
• Present new products and services
• Generate quotes and promote personal insurance products
• Sell products by contacting prospective clients and building relationships with them
• Respond to calls and other communications
• Follow up on policies nearing renewal
• Generate new quotes for prospects from previous years
• Communicate with potential clients
• Create a climate of trust that fosters new sales opportunities
• Contribute, both as part of the team and individually, to continuous business improvement
• Respond responsibly to customer inquiries
• Process account changes accurately
• Maintain complete client records

Personal Lines Insurance Broker – Sales/Service

Data Engineer

• Reporting to the Senior Manager, Data Management, the Data Engineer designs, develops, and maintains scalable data pipelines and modern data platforms, primarily supporting a Python-based data processing platform
• Focus on Master Data Management (MDM) processing and MDM platform modernization
• Design, develop, and enhance data pipelines to ingest and process data from multiple source systems and file formats
• Apply data quality rules, validations, and thresholds within data pipelines to ensure reliable and accurate data is loaded to databases
• Implement and manage CI/CD pipelines to enable automated deployment using Azure DevOps
• Support the migration of existing Python-based solutions to Snowflake, and MDM platforms (e.g., Profisee), supporting platform modernization
• Monitor and support data pipelines to ensure they meet expectations, maintain robustness, and adhere to security standards
• Collaborate with Data Architecture and Data Governance for critical platform and portfolio initiatives in collaboration with business and technology stakeholders
• Support the conversion of SSIS packages to ADF as part of Cloud migration
• Collaborate effectively with cross-functional teams and external partners across the organization
• Ensure compliance with data stewardship standards, governance policies, and data security procedures