Director, Data Architecture & Information Management

Toronto, Canada

As the Director, Data Architecture & Information Management, you will serve as the organization’s designated authority and strategic leader for enterprise data architecture. Working across major business and technology initiatives, you will influence key decisions and lead the evolution of the enterprise data systems architecture, enterprise data model, and Master Data Management (MDM) capabilities.

This leadership role is accountable for setting the strategic direction for data and establishing the standards, patterns, information models, and architecture review processes that govern how data is designed, integrated, and managed across the enterprise. Through this work, you will enable trusted, scalable, and reusable information assets that support business operations, analytics, digital initiatives, and AI capabilities.

• Provide architectural leadership and design oversight across major projects, programs, and technology initiatives that impact enterprise data.
• Partner with business and technology leaders to define future-state data capabilities and architecture roadmaps aligned with strategic priorities.
• Define and lead the organization’s Master Data Management (MDM) strategy, architecture, and roadmap, beginning with customer data and expanding across additional domains.
• Own and evolve the enterprise canonical data model and business information architecture to improve consistency, interoperability, reuse, and scalability.
• Establish and govern enterprise data architecture standards, design patterns, information models, reference architectures, and architecture review processes.
• Lead enterprise data modeling, metadata architecture, information lifecycle management, and related architectural practices.
• Evaluate emerging technologies, data platforms, and AI capabilities to strengthen the enterprise data architecture and create business value.
• Build, mentor, and lead a high‑performing team of Data Architects, Data Modelers, and Data Engineers.

• Bachelor’s degree in computer science, Information Systems, Engineering, Data Management, or a related discipline.
• 10+ years of progressive experience in enterprise data architecture, information architecture, data modeling, and information management.
• Proven success influencing enterprise-wide business and technology decisions through architectural leadership.
• Experience partnering with Enterprise, Solution, and Cloud Architects to establish end-to-end architecture strategies.
• Demonstrated experience designing and implementing enterprise data standards, architecture patterns, and governance processes.
• Strong expertise in conceptual, logical, and physical data modeling.
• Experience leading Master Data Management (MDM) initiatives and enterprise information management programs.
• Experience developing enterprise information models, integration standards, and reference architectures.
• Proven ability to collaborate with senior business and technology leaders to define future-state architecture roadmaps.

• Master’s degree in a related discipline.
• Experience with in financial services or another highly regulated industry.
• Experience designing or supporting modern cloud-based data platforms, preferably Snowflake.
• Experience with modern data transformation and modeling practices using dbt or similar technologies.
• Experience enabling AI, advanced analytics, customer intelligence, and digital transformation initiatives.
• Experience building and leading architecture or information management teams.

Our compensation strategy is designed to attract and retain top talent by offering competitive, fair, and performance-driven rewards. We benchmark against the market, recognize strong performance, and continuously evolve to meet the needs of our people and our business.

Discretionary Annual Bonus:
Opportunity for a discretionary bonus based on individual performance and company success.

Comprehensive Benefits:
Health and dental plans with 100% of the premiums covered. Employee Assistance Program to support mental well-being and provide resources for personal challenges.

Retirement Plans:
Robust retirement savings options to plan for the future.

Hybrid Work Environment:
Hybrid work model, balancing remote work with in-office.

Perks and Rewards:
Tuition assistance, professional development reimbursement, discounts through Perkopolis, and participation in rewards and recognition programs.

MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process. We will work with you to determine how to meet your needs.