Location: Toronto, ON, Canada
Date Posted: Jul 31, 2025
Description
At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.
CI Financial is looking for an innovative leader to join our Data, AI & Analytics (DNA) team as the Manager of Data Engineering (Delivery). In this managerial role within the DNA team, you will oversee & perform the design, development, and optimization of scalable data pipelines and data models that enable seamless, reliable data flow and consumption across a variety of systems. Your work will support business objectives and empower data-driven decision-making. You will support the continuous advancement of our data engineering delivery practices, ensure data integrity, availability, and security, while promote strong collaboration across CI Global Asset Management.

QUALIFICATIONS:

• 7+ years of hands-on experience in data engineering including 1–2 years of proven experience in managing high-performing data engineering or technology teams.
• Expertise in architecting and building scalable data platforms, ETL/ELT pipelines, and data integration solutions.
• Solid understanding of data warehousing concept and data architecture (Kimball and/or Data Vault 2.0 methodologies)
• Proficiency in languages like SQL and Python and experience with Snowflake or similar data platforms.
• Strong project management skills with experience leading data engineering projects, including defining project scope, timelines, and deliverables, and managing project risks.
• Ability to navigate between technical and business audiences.
• Exceptional problem-solving abilities with proven record of tackling complex data challenges and delivering practical, impactful solutions.
• Experience with DevOps practices, including CI/CD pipelines and automated deployment/testing frameworks.

PREFERRED QUALIFICATIONS:

• Knowledge of asset management, financial services, or wealth management industries