Data Solutions Designer

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.

We are seeking a Data Solutions Designer to join our Data Analytics & AI (DNA) team in shaping data-driven solutions that enable investment insights operational efficiency and client reporting across our asset management business.

In this role you will help design and guide the implementation of end-to-end data flowsfrom source systems through to final consumption by business intelligence platforms data science models and third-party consumers. This includes contributing to platform architecture data modeling and solution review across a modern collaborate with data engineers analysts quants and business stakeholders to ensure that data solutions are well-architected secure scalable and aligned with the needs of a fast-paced regulated industry.

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

Design End-to-End Data Solutions

• • Design robust data solutions supporting business intelligence data processes analytics and AI/ML initiatives.
  • Develop technical flowcharts data flow diagrams (DFDs) and system interaction models to visualize and validate proposed data solution designs.
  • Define data flows from ingestion through transformation storage and deliveryincluding real-time and batch patterns.
  • Ensure solutions support both operational and analytical use cases (e.g. dashboards APIs external data delivery).

Collaborate Across Teams

• Partner with data engineering analytics and AI teams to evaluate and enhance solution designs.
• Provide guidance on architectural decisions platform capabilities and technology choices within our AWS and Snowflake-based ecosystem.

Modeling & Metadata

• Design logical and physical data models to support various levels of reporting and analysis.
• Partner with Data Governance to help promote standards for metadata documentation and lineage tracking using tools like Alation DBT and Tableau Data Catalogs.

Platform & Governance Alignment

• Ensure all designs align with platform standards data governance policies and regulatory requirements relevant to asset management.
• Contribute to improving data product delivery patterns reusability and performance optimization.

Review & Influence

• Review proposed solution designs and challenge approaches to ensure strategic alignment maintainability and fit-for-purpose outcomes.
• Act as a thought partner in refining how we deliver data analytics and AI capabilities to the business.

Education

• Bachelors degree in Computer Science Information Systems Data Science Engineering or a related field (required).
• Masters degree in Data Analytics Information Systems or Financial Engineering (preferred).
• Relevant certifications (e.g. Snowflake AWS dbt TOGAF) are a plus.

Experience

• 8 years of experience in data architecture data solution design or data engineeringpreferably within financial services or asset management.
• Strong understanding of data platforms and architecture including experience with:
• Snowflake for cloud data warehousing
• AWS for cloud services and data pipelines
• dbt for transformation and documentation
• Demonstrated experience designing data flows and models to support BI reporting and/or AI/ML use cases.

Skills

• End-to-End Solution Design Thinking - The ability to see the full lifecycle of a solutionfrom data ingestion processing and modeling to delivery and consumptionwhile aligning it to business goals.
• Ability to work cross-functionally and communicate clearly with both technical and business stakeholders.
• Solid understanding of data governance quality privacy and regulatory considerations in financial environments.

Desirable experience and skills

• Familiarity with investment data domains such as holdings transactions benchmarks risk or client reporting.
• Experience with data sharing APIs or delivering data to external consumers or partners.
• Experience with building DevOps pipelines for Data and/or AI/ML

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 Topup 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 or call ext. 4747.