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CI Financial

Manager, Data Operations

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 19, 2026
Experience: 7+ years of experience in data engineering, Data Operations, or platform operations, with at least 2+ years in a leadership or management role.
Posting language: English
Posted: Oct 20, 2026

Original job 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 seeking a Manager, Data Operations to join our Data, AI & Analytics (DNA) team. In this role, you will be accountable for the reliability, scalability, and operational excellence of enterprise data platforms and pipelines, ensuring that data products are delivered consistently, securely, and at scale.

You will lead a team of Data Operations engineers and developers, establish operational standards, and partner closely with Data Engineering, Analytics, Governance, and Technology teams to embed production-grade data operations, CI/CD practices, and monitoring across the enterprise data ecosystem.

This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs.

KEY RESPONSIBILITIES

Data Platform Operations & Reliability

Own the day-to-day operational health of enterprise data platforms (e.g., Snowflake, orchestration tools, CI/CD pipelines, BI platforms).
Enforce change management and release controls for production data systems.
Ensure high availability, performance, and reliability of data pipelines and analytical workloads.
Establish and track SLAs, SLOs, and operational KPIs for data services.

Data Operations & CI/CD Leadership

Lead the implementation and continuous improvement of Data Operations and CI/CD practices for data pipelines, transformations, and platform changes.
Enforce change management and release controls for production data systems.
Standardize deployment, rollback, and release management processes for data assets.
Ensure automation-first approaches across testing, deployment, and monitoring.

Monitoring, Incident & Problem Management

Implement proactive monitoring, alerting, and observability for data pipelines and platforms.
Lead incident response, root-cause analysis, and post-incident reviews for data-related outages or quality issues.
Drive continuous improvement to reduce operational risk and manual intervention.

Team Leadership & Capability Building

Lead, coach, and develop a team of Data Operations engineers and developers.
Set clear priorities, performance expectations, and development plans.
Foster a culture of operational excellence, accountability, and continuous learning.

Data Quality, Testing & Controls

Enforce change management and release controls for production data systems.
Partner with Data Engineering and Analytics teams to embed data quality checks, validation, and automated testing into pipelines.
Ensure operational controls align with data governance, security, and compliance requirements.
Support audit, risk, and regulatory inquiries related to data operations.

Architecture & Platform Optimization

Collaborate with data engineering and architecture team to design scalable, cost-efficient, and resilient data platform architectures.
Coordinate data refreshes and environment management for non-production environments (e.g., TST/UAT).
Drive performance tuning, cost optimization, and capacity planning for Snowflake and related platforms.
Evaluate and onboard new tooling to enhance Data Operations maturity.

Documentation & Operational Standards

Establish and maintain operational runbooks, standards, and documentation for platforms, pipelines, and processes.
Ensure transparency and knowledge sharing across teams.

Stakeholder Collaboration

Partner with Data Engineering, Analytics, Governance, Security, and Technology teams to align on priorities and delivery.
Act as the primary operational point of contact for data platform reliability and service health.

QUALIFICATIONS

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
7+ years of experience in data engineering, Data Operations, or platform operations, with at least 2+ years in a leadership or management role.
Strong hands-on experience with Snowflake as an enterprise data platform, including performance optimization and cost management.
Proven experience implementing CI/CD pipelines and operational best practices for data workflows.
Experience with orchestration tools (e.g., AWS Managed Service for Apache Airflow or similar).
Proficiency in SQL and Python, with the ability to guide technical design and review solutions.
Strong understanding of cloud platforms (AWS, Azure, or GCP) and cloud-native data operations.
Experience with monitoring, alerting, and observability tools for data platforms.
Solid understanding of data security, privacy, and regulatory requirements.
Excellent leadership, communication, and stakeholder management skills.

PREFERRED QUALIFICATIONS

Experience in asset management, wealth management, or financial services environments.
Experience operating data platforms at enterprise scale with multiple downstream consumers.
Familiarity with modern data tooling (e.g., Snowflake, DBT, Openflow, AWS Services, Airflow).
Experience partnering with Data Governance and risk teams.
Snowflake or cloud platform certifications.

CI Financial is an independent company offering global wealth management and asset management advisory services through diverse financial services firms. Since 1965, we have consistently anticipated and responded to the changing needs of investors. We are driven by a commitment to provide individuals and institutions with the highest-quality investments and advice. Our commitment to the highest levels of performance means that whatever their position, CI employees must be comfortable in a fast-paced environment that will stretch them to tap into their highest potential. Employees with a healthy dose of ambition, a desire to commit to a curious mindset for continuous learning, and a willingness to go the extra mile thrive at CI.

A Supportive Environment for Success

We offer an in-office environment, competitive benefits, and a supportive workplace to help our employees thrive both personally and professionally.

WHAT WE OFFER

Modern HQ location within walking distance from Union Station
Training Reimbursement
Paid Professional Designations
Employee Savings Plan (ESP)
Corporate Discount Program
Enhanced group benefits
Parental Leave Top–up program
Paid time off for Volunteering

We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.

Please submit your resume in confidence by clicking “Apply”. Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates (“CI”) are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us at accessible.recruitment@ci.com, or call 416-364-1145 ext. 4747.

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More about this job

Responsibilities

Lead the Data Operations team and oversee the reliability, scalability, security, and operational health of enterprise data platforms and pipelines. Establish CI/CD, monitoring, incident response, data quality, release, and operational standards while partnering with engineering, analytics, governance, security, and technology teams.

Requirements

Requires a bachelor’s degree in a relevant field or equivalent experience, at least seven years of experience in data engineering or platform operations, and at least two years in a leadership or management role. Candidates should have hands-on Snowflake expertise, CI/CD and orchestration experience, SQL and Python proficiency, cloud platform knowledge, and experience with monitoring, security, and regulatory requirements.

Skills

Snowflake
Data Operations
Data Platform Operations
CI/CD
SQL
Python
Apache Airflow
Cloud Platforms
Data Pipeline Monitoring
Observability
Incident Management
Root-Cause Analysis
Data Quality
Data Governance
Performance Optimization
Team Leadership

Benefits

Competitive Benefits
Training Reimbursement
Employee Savings Plan
Corporate Discount Program
Enhanced Group Benefits
Parental Leave Top-Up
Paid Time Off for Volunteering

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Data Operations
Data Engineering
Data Platforms
Data Pipelines
CI/CD
SQL
Python
Apache Airflow
AWS
Azure
Google Cloud Platform
DBT
Openflow
Business Intelligence
Data Quality
Data Governance
Data Security
Data Privacy
Monitoring
Alerting
Observability
Incident Management
Root-Cause Analysis
Change Management
Release Management
Automated Testing
Performance Optimization
Cost Management
Financial Services

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