Data Quality Analytics and Reporting Lead

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

Data Quality Analytics & Reporting Lead Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality Analytics & Reporting team. The overall objective is to manage and execute continuous Data Quality by overseeing firm-wide controls, setting parameters and guidelines for measurement, evaluation, adoption, and communications of Data Quality and Data Quality risk. Requires in-depth understanding of data and reporting. Requires sound analytical skills to filter, prioritize and validate potentially complex and dynamic material from various sources to monitor and certify authoritative data sources and remediate data concerns.

Responsibilities

• Design, implement, and manage enterprise-wide data quality frameworks, including the definition of data quality rules and comprehensive scorecards.
• Develop and deploy preventative and detective data controls across the entire data lifecycle and critical data flows for Enterprise Risk Data.
• Drive the integration of data quality controls directly into upstream systems and data pipelines to ensure quality at source.
• Leverage advanced AI/Machine Learning techniques for anomaly detection, real-time data monitoring, and predictive identification of data quality issues.
• Utilize Generative AI solutions for metadata enrichment, automated reporting, and process automation within the data ecosystem.
• Lead the end-to-end lifecycle of data issues, from identification and root cause analysis (RCA) through resolution, fix implementation, and closure verification.
• Focus on delivering root-cause, scalable, and sustainable fixes to prevent recurrence of data issues.
• Lead and execute Data Quality Control Assessments to validate the effectiveness of implemented controls.
• Evaluate the efficacy and operational performance of data controls across end-to-end data flows.
• Provide robust support and documentation for internal and external audit requirements and regulatory reviews.
• Cultivate strong partnerships with Business, Technology, AI, Risk, and Data teams to align strategies and foster collaborative outcomes.
• Drive continuous process re-engineering initiatives aimed at improving upstream data quality and overall data management efficiency.
• Influence and advocate for the adoption of leading data governance and AI practices across the enterprise.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Recommended Qualifications

• 6+ years of progressive experience in Data Governance, Data Quality, Data Controls, or Regulatory programs within a complex enterprise environment.
• 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.

Education

• Bachelor's/University degree, Master's degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group

Data Governance

Job Family

Data Quality & Data Quality Analytics and Reporting

Time Type

Full time

Primary Location Full Time Salary Range

$111,600.00 - $161,600.00

Most Relevant Skills

Data Governance, Data Management, Data Quality, Data Quality Management, Internal Controls, Needs Assessment, Risk Management Culture.

This job opening is for an existing job vacancy.

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