The Liquidity Data team plays a critical role in executing the Data Governance Policy (DGP) obligations, designing a data management strategy and sustainable operating model for the Liquidity Data Domain and continuously delivering data excellence for the function.

The Liquidity Data Governance Lead Analyst is an enthusiastic professional supporting the implementation of data governance policies and standards specific to liquidity data, monitoring data quality, and collaborating with stakeholders to address data-related issues. The analyst contributes to maintaining a robust liquidity data environment that meets policy requirements and enables effective data risk management across the function.

Responsibilities:

• Help create and maintain an enterprise data catalogue with the required metadata, data domain mapping, and lineage to ensure data assets are well-documented and easily discoverable, per the DGP standards and procedures.

• Support the Data Manager in documenting and fulfilling Data Consumer requirements for accuracy, completeness, and timeliness of critical data elements.

• Support the execution of data quality and governance activities, including assisting in the resolution of Data Exceptions and remediation of Data Concerns.
• Support the Data Manager and Technology Owner in designing controls to mitigate key data-related risks.
• Ensure that data management activities comply with the Enterprise Risk Management Framework, Operational Risk Management Policy, and other relevant policies and standards.
• Assist in the production of metrics and key performance indicators for the Liquidity Data Domain and help present them to relevant governance bodies.

Qualifications & Experience:

• 6-10 years of relevant experience in banking or financial services, with preference for demonstrable experience in data governance, operational risk and controls
• Good understanding of data governance principles, data quality management, and data lineage.
• Excellent communication, collaboration, and problem-solving skills.
• Familiarity with data modelling, data architecture, and database concepts is a plus
• Familiarity with data management tools (e.g. Collibra) and technologies is a plus.
• Knowledge of relevant regulations and industry standards (e.g., BCBS 239) is a plus.
• Proficiency in SQL, data analysis tools (e.g., Python, R) and data visualization tools (e.g., Tableau, Power BI) is a plus.
• Highly proactive and results-oriented with a strong bias for action and innovation.
• Curiosity to learn new data management concepts, technologies, and methodologies.
• Demonstrated commitment to operational excellence and process improvement.

Education:

• Bachelor’s degree in a related field (e.g., Information Management, Computer Science, Business Administration)

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Job Family Group:

Finance

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Job Family:

Liquidity Management

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Time Type:

Full time

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Primary Location:

Tampa Florida United States

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Primary Location Full Time Salary Range:

$103,920.00 - $155,880.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Business Acumen, Data Analysis, Financial Modeling, Liquidity Management, Problem Solving, Process Execution, Regulatory Reporting.

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Other Relevant Skills

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

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Anticipated Posting Close Date:

Nov 28, 2025

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