Data Quality Analytics & Reporting Lead - AI-Driven Governance

Citi; Mississauga; On-site; CAD 112,000 - 162,000; Full time

Job summary

Citi is hiring for a Data Quality Analytics & Reporting Lead Analyst. The role focuses on enterprise-wide data quality frameworks, controls, and governance to ensure authoritative data sources and remediation of data concerns. It requires strong analytical skills and experience with AI/ML in data management.

The candidate will partner with Business, Technology, AI, Risk, and Data teams to drive control implementation, monitoring, and regulatory readiness across the firm.

Qualifications

• 6+ years of progressive experience in Data Governance, Data Quality, Data Controls, or Regulatory programs within a complex enterprise.
• Understanding of AI/Machine Learning and Generative AI use cases specifically within data management and analytics.
• Familiarity with data lineage, metadata management, and AI governance principles.
• Proven track record of strong stakeholder management and influencing skills across diverse organizational levels.
• Ability to navigate complex organizational structures and drive impactful outcomes.

Responsibilities

• Design, implement, and manage enterprise-wide data quality frameworks, including data quality rules and scorecards.
• Develop and deploy data controls across the data lifecycle and critical data flows.
• Drive integration of data quality controls into upstream systems and pipelines.
• Leverage AI/ML techniques for anomaly detection and real-time data monitoring.
• Lead end-to-end lifecycle of data issues from discovery to closure verification.
• Provide robust support and documentation for audit requirements and regulatory reviews.

Skills

Data Governance

Data Quality

Data Management

Data Quality Management

Internal Controls

Needs Assessment

Risk Management

Education

Bachelor's degree

Master's degree preferred

Job description

Citi is hiring for a Data Quality Analytics & Reporting Lead Analyst. The role focuses on enterprise-wide data quality frameworks, controls, and governance to ensure authoritative data sources and remediation of data concerns. It requires strong analytical skills and experience with AI/ML in data management.

The candidate will partner with Business, Technology, AI, Risk, and Data teams to drive control implementation, monitoring, and regulatory readiness across the firm.