Responsible for collecting and analyzing multilingual conversational data focusing on diplomatic terminology for AI models development. Ensuring linguistic accuracy and terminology consistency.
About the role
- Associate Director, Data Analytics and Systems specializing in data analytics for investment operations. Collaborating with stakeholders to optimize data and system solutions in Canada Life's Investments Division.
Responsibilities
- Analyze complex investment datasets to deliver key insights for portfolio managers and senior leadership
- Design, develop, and maintain dynamic dashboards and reports using BI tools (Power BI, Tableau)
- Enable data-driven decision-making by collaborating with investment, finance, and business teams
- Automate reporting and analytics processes to improve efficiency and accuracy
- Support recurring and ad hoc analytical needs for investment operations, including annual loan production, borrower and tenant exposure, asset diversification, risk assessment and compliance reporting
- Manage and optimize investment systems (e.g., mortgage system, data Lakehouse etc.), ensuring accurate data ingestion, transformation, and reporting
- Oversee system access governance, performance, maintenance
- Assist with incident management, enhancements, access reviews, and audit for investment systems
- Present insights and recommendations to technical and non-technical audiences, including senior leadership
- Provide training and support on BI tools and system best practices, continuously refining materials for better adoption
- Collaborate with cross-functional teams to deliver optimal data and system solutions, driving efficiency and scalability through continuous improvement
- Promote innovation by recommending process enhancements and automation to optimize workflows
Requirements
- Degree or Diploma in related discipline (Data Analytics, Computer Science, System Integration, Finance, Business Computing, Business Analysis etc.)
- Advanced proficiency in Excel, SQL, BI tools (Power BI, Tableau); and Python is an asset
- Working knowledge of data platforms and cloud technologies (Databricks, ADF, AWS etc.)
- Strong understanding of data governance, quality assurance, and security practices
- Demonstrated ability to lead process improvements and drive changes in data analytics and systems
- Excellent interpersonal skills; demonstrated through excellent communication skills, working effectively within a team environment
- Background in business analysis related to systems in commercial banking, mortgage lending and/or commercial real estate experience would be an asset.
Benefits
- Health insurance
- Competitive salary
- Flexible working hours
- Professional development opportunities
- Paid time off
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