Data Quality Analytics and Reporting Lead

Citigroup Inc.; Mississauga; On-site; CAD 111,600 - 161,600; Full time

Benefits offered by this job

Formal recognition program

Job summary

Citigroup Inc. is seeking a seasoned Data Quality Analytics & Reporting Lead Analyst in Mississauga to lead enterprise data quality initiatives and risk controls. You will define quality rules, develop scorecards, and drive AI-enabled monitoring across the data lifecycle.

Collaboration with Business, Technology, AI, and Risk teams is essential to ensure data integrity and regulatory readiness. This role emphasizes scalable, sustainable fixes and robust issue resolution processes, with a focus on

Qualifications

• Responsibilities: design, implement, and manage enterprise-wide data quality frameworks with rules and scorecards.
• Develop and deploy preventative and detective data controls across the data lifecycle and critical data flows.
• Drive integration of data quality controls into upstream systems and data pipelines.
• Leverage AI/ML techniques for anomaly detection, real-time data monitoring, and predictive data quality issues.
• Utilize Generative AI for metadata enrichment, automated reporting, and process automation.
• Lead end-to-end lifecycle of data issues from RCA to closure verification.
• Focus on root-cause, scalable, and sustainable fixes to prevent recurrence of data issues.
• Lead Data Quality Control Assessments to validate control effectiveness.
• Evaluate efficacy and operational performance of data controls across end-to-end data flows.
• Provide robust support for internal and external audit requirements and regulatory reviews.
• Cultivate partnerships with Business, Technology, AI, Risk, and Data teams.
• Drive continuous process re-engineering to improve upstream data quality and data management efficiency.
• Advocate for leading data governance and AI practices across the enterprise.

Responsibilities

• Design, implement, and manage enterprise-wide data quality frameworks and scorecards.
• Develop and deploy data quality controls across the data lifecycle and critical data flows.
• Integrate data quality controls into upstream systems and pipelines to ensure data quality at source.
• Apply AI/ML techniques for anomaly detection and real-time monitoring.
• Use Generative AI for metadata enrichment and automated reporting.
• Manage end-to-end lifecycle of data issues from detection to closure.
• Deliver root-cause fixes to prevent recurrence of issues.
• Conduct Data Quality Control Assessments to test controls and effectiveness.
• Monitor and evaluate data controls across end-to-end data flows.

Skills

Data Governance

Data Management

Data Quality

Data Quality Management

Internal Controls

Needs Assessment

Risk Management Culture

Education

Bachelor's degree

Master's degree

Job description

The 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.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

This job opening is for an existing job vacancy.

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