Manager, Data Initiatives - Ottawa, ON

Is this role right for you?

In this role you will:

• Analyze and Interpret Data including conducting in-depth analysis of data from various sources, including databases, data warehouses, and external feeds, to identify trends, patterns, and anomalies & investigate and resolve data-related issues, working with technical teams to implement fixes
• Collect and store data to enable AI readiness & leverage AI to enhance data, including writing code, and leverage data to enhance AI
• Profile data, perform data quality checks, and identify data integrity issues
• Develop and implement data quality rules and monitoring processes & maintain comprehensive documentation of data sources, data flows, data definitions, and data quality rules
• Identify root causes of data quality problems and propose solutions
• Contribute to the development and enforcement of data governance policies, standards, and procedures & work with data owners to define data definitions and business rules
• Create clear, concise, and informative reports and dashboards to communicate data insights and key metrics to stakeholders & use data visualization tools to present findings effectively
• Work closely with business analysts, data engineers, and other team members to understand data requirements and implement data solutions & participate in cross-functional projects as a data expert
• Provide training and support to business users on data access, reporting, and data quality tools

Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:

• An undergraduate degree in Computer Science, Data Science, Finance, Economic or a related technical discipline with a focus in Data Analytics and AI, or equivalent practical experience
• CFA enrollment is an asset
• Other certifications in programming languages such as Python, SQL or other equivalent
• 3 + years of experience with data management tools and various query and processing languages (SQL, Python, etc.)
• 2 + years’ experience with data analytics and visualization tools (Power BI, etc.)
• 1 + years’ experience with public cloud environments and developing data quality programs within their applications (GCP, Databricks, Azure, etc.)
• Investment Management Operations, Asset Management, Wealth Management, or Insurance industry experience, preferably in a leadership role
• Experience leading technology and/or business delivery initiatives in large, complex organizations, preferably within financial services or data and AI environments
• Experience implementing a data catalog, quality, and profiling tool