Data Analytics Lead Analyst - Vice President

• Lead the design and implementation of Enterprise Data Governance frameworks, including Data Quality, Data Risk Taxonomy, and Data Lineage, across Compliance domains such as AML, KYC, and Regulatory Reporting.
• Partner closely with Compliance, Operational Risk, Technology, and Data Engineering teams to embed governance and control requirements into upstream and downstream data flows.
• Support and lead complex data integration and transformation initiatives, including sources and platforms such as RegEd, Appian, and other enterprise compliance systems.
• Drive end-to-end data mapping, metadata standardization, and lineage documentation across critical reference and Compliance data assets.
• Contribute to target-state data models, regulatory data remediation programs, and Data Issue Management initiatives, ensuring alignment with enterprise standards.
• Design and implement data control, lineage, and traceability frameworks that integrate Compliance data providers with consuming applications to support audit-ready, sustainable governance practices.
• Serve as a recognized technical and domain authority for Compliance Data Governance, influencing standards, best practices, and cross-functional delivery approaches.
• Contribute to the development of Data Analytics and Governance standards that others within the function will follow.
• Perform advanced analysis of complex, ambiguous data issues where solutions are not readily apparent, recommending and executing corrective actions.
• Provide thought leadership, guidance, and advisory support to stakeholders across Compliance and Technology.
• Own the quality, timeliness, and delivery of data governance and analytics initiatives, including short-term planning and prioritization.
• Appropriately assess and manage risk in business decisions, demonstrating strong consideration for Citi's reputation, regulatory obligations, and control environment, including escalation and transparent management of data control issues.

• At least10+ years of experience in data analytics, data governance, or related roles, with hands-on experience supporting large, complex data sets.
• Proven experience implementing Enterprise Data Governance, Data Quality, and Data Lineage, preferably within Compliance, AML, KYC, or Regulatory Reporting domains.
• Demonstrated ability to lead CDGP or comparable enterprise data governance implementations delivering audit-ready outcomes.
• Strong understanding of data integration, transformation, and lineage across complex enterprise architectures.
• Excellent communication, diplomacy, and influencing skills to guide cross-functional stakeholders and senior partners.
• Ability to resolve complex, highly variable problems requiring sound judgment and analytical rigor.

Preferred Technical Stack / Tools

• Data Governance & Metadata: Collibra, Open Metadata
• Databases & Querying: Oracle, SQL
• Data Profiling & Analysis: Python-based data profiling frameworks
• ETL / Integration Tools: Enterprise ETL platforms
• Project & Delivery Management: JIRA
• Visualization & Reporting: Tableau, regulatory reporting platforms
• Controls & Lineage: Hands-on experience implementing data controls and lineage traceability frameworks

Education:

• Bachelor's/University degree or equivalent experience