Data Governance Consultant: Drive Quality & Compliance

Canadian Imperial Bank of Commerce; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

Canadian Imperial Bank of Commerce is seeking an experienced Data Governance Consultant to evolve and execute governance for PBB. You will drive metadata, data quality, and data sharing initiatives while engaging cross-functional partners to meet regulatory requirements and enable informed decision-making.

The role emphasizes strong analytical skills, hands-on data tooling, and effective communication to translate complex data insights for leadership and business units within a hybrid work setup

Qualifications

• You have 3–5 years of experience implementing or executing data governance, preferably within a financial institution, and have worked in a regulatory environment.
• You demonstrate strong analytical and technical skills.
• You are comfortable communicating complex data concepts to non-technical stakeholders.

Responsibilities

• Support evolution and execution of Personal & Business Banking (PBB) Data Governance capabilities.
• Ensure data governance aligns with enterprise policy and regulatory standards.
• Lead metadata management, data quality, and data sharing initiatives.
• Engage stakeholders and forums to drive risk-aware data governance outcomes.
• Mitigate regulatory risk and respond timely to inquiries during audits or exams.
• Collaborate across teams to enable compliant data reporting and decision-making.

Skills

Data governance

Regulatory compliance

Data analysis

Stakeholder management

Communication

Tools

SAS

SQL

Python

R

Hadoop

Spark

Alteryx

Tableau

Power BI

Cognos

Job description

Canadian Imperial Bank of Commerce is seeking an experienced Data Governance Consultant to evolve and execute governance for PBB. You will drive metadata, data quality, and data sharing initiatives while engaging cross-functional partners to meet regulatory requirements and enable informed decision-making.

The role emphasizes strong analytical skills, hands-on data tooling, and effective communication to translate complex data insights for leadership and business units within a hybrid work setup