Reporting & Insight Manager, SBB Credit; ATH

Position: Reporting & Insight Manager, SBB Credit (ATH 5017)
Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Risk Management Pay Details:$96,900 - $136,800 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Department Overview:

The Small Business Banking Risk strategy team is responsible for the development, monitoring and execution of risk strategies, initiatives and SBB portfolio that will assist our business partners in achieving growth and profitability while supplying effective challenge to maintain the overall risk quality of our lending portfolios.

Job Description:

Lead the delivery of data-driven insights, reporting, and performance monitoring for Small Business Banking (SBB) Credit, enabling informed decision-making across credit strategy, risk management, and portfolio performance.

Drive the end-to-end data transformation agenda for SBB Credit, aligned to the Bank’s enterprise data strategy, modernizing data architecture through migration to Rahona, establishing centralized and governed master data assets, and enabling scalable, high-quality data foundations. Champion the implementation of advanced analytics and reporting tools to accelerate time-to-insight, enhance self-serve capabilities, and support a more agile, insight-led decision environment.

Success Profile:

Data Transformation Leader:
Proven ability to lead large-scale data initiatives, including data migration (e.g., Rahona), and master data management

Strategic & Insight-Oriented:
Connects data to business outcomes; drives faster, better decision-making through modern analytics

Technical Depth:
Strong expertise in data ecosystems (ADLS, EDW, Rahona), SQL, Python, SAS and BI tools, with a focus on building scalable solutions

Change & Influence:
Able to mobilize cross-functional teams and drive adoption of new data capabilities and tools

Efficiency & Automation Focused:
Champions process simplification, automation, and self-serve analytics, reducing manual effort and accelerating time-to-insight

Executive Communication:
Translates transformation progress into clear, compelling narratives for senior leadership and regulators

Job Requirements:

This role requires a combination of technical skills, project management, business knowledge and interpersonal skills:

Reporting & Performance Monitoring Own end-to-end delivery of credit risk dashboards and reporting suites, ensuring scalability, automation, and alignment to modernized data infrastructure (e.g., Rahona)
Deliver timely, accurate, and insight-driven reporting for executive, board, and regulatory audiences

Monitor risk appetite (RAS) metrics and proactively identify emerging risks through real-time and near-real-time data capabilities Insight Generation & Advanced Analytics Identify key drivers of credit performance, supported by enhanced data accessibility and analytical tooling

Enable self-serve analytics capabilities across stakeholders to democratize insights and reduce reliance on manual reporting Data Transformation & Governance Leadership Lead the SBB Credit data transformation roadmap, aligned with the Bank’s enterprise data strategy

Oversee migration to Rahona, ensuring continuity, data integrity, and improved performance

Establish and govern centralized master data assets, improving consistency, reusability, and data lineage

Drive adoption of modern data tools and platforms to accelerate reporting and analytics

Improve data quality, controls, and governance, ensuring compliance with privacy (PIA), audit, and regulatory expectations

Eliminate manual processes…