Business Analytics Python - Vice President
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Citi scores A on the Alion truth index.
Overview:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients and the publics trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.
The Quality Assurance and Testing Validation (QATV) team delivers independent oversight and rigorous validation across the organization's regulatory reporting ecosystem and is dedicated to ensuring the highest standards of accuracy, reliability and control through testing Citi’s regulatory and management reporting while providing an objective assessment of issue remediation.
QATV Reporting & Analytics team provides analytical support on:
Reporting & Intelligence - Building and maintaining data marts, synthesizing test results into quantitative metrics, and authoring detailed qualitative narratives and formal publication reports for senior stakeholders and report owners.
Operational Intelligence & Capacity Planning - Monitor testing sprints to ensure timeline adherence, leading proactive capacity planning across all execution phases, and leveraging skill assessments to assign qualified personnel to appropriate testing stages.
Testing & Exception Management Automation - Automation of design, creation, and execution of test scripts
Job Summary:
This VP role is responsible for leading analytics & insights activities for the QATV organization. The primary set of deliverables in this role pertain to insights, reporting and analysis for the QATV.
The incumbent applies deep expertise in data management, reporting, and analytics to drive the development, quality, and continuous improvement of reporting capabilities and processes.
The role requires the ability to operate with a high degree of independence, manage complex data challenges, and influence outcomes across a matrixed organization.
The individual lead some data and reporting professionals, providing strategic direction and hands-on guidance to ensure the delivery of accurate, timely, and insightful reporting outputs.
The role demands strong leadership, AI literacy, and the ability to translate complex data into clear, actionable insights for senior stakeholders. The incumbent is expected to drive innovation and efficiency across reporting processes, including the adoption of emerging AI & automation tools.
In this role, you are expected to:
- Lead end-to-end data and reporting activities including data analysis, metric development, reporting design, data quality management, and continuous improvement of reporting processes and workflows using AI and Automation tools
- Serve as subject matter expert for reporting outputs and metrics - ensuring accuracy, consistency, and alignment with agreed definitions and business requirements across all reporting deliverables
- Own and manage the full reporting lifecycle including data validation, metric computation, quality assurance, and stakeholder distribution
- Lead User Acceptance Testing (UAT) activities for new reporting releases and data platform changes, including test design, execution, and business sign-off
- Drive process improvement and AI / Automation initiatives to enhance the efficiency, scalability, and accuracy of reporting workflows - including the evaluation and adoption of AI tools and emerging technologies
- Provide strong data-driven insights and analysis to senior stakeholders, supporting decision-making and enabling identification and mitigation of risk
- Collaborate effectively with cross-functional teams in QATV by managing expectations and ensuring alignment on project goals and deliverables. Communicate project status, risks, and issues to stakeholders in a timely manner
- Provide technical leadership and guidance to junior team members. Mentor and coach team members on best practices in data analysis, reporting, and data infrastructure management
Qualifications:
- 10+ years of experience in data management, reporting, analytics, or a related field, with a track record of delivering high-quality reporting in a complex, large-scale environment
- Strong hands-on proficiency in SAS/Python, GenAI, data querying, validation, and analysis across large datasets - must be comfortable working directly with data
- Hands-on experience with data visualization and business intelligence tools such as Tableau for dashboard development, metric tracking, and reporting - Tableau proficiency is a strong advantage
- Solid understanding of data architecture, ETL processes, and data pipelines - sufficient to coordinate effectively with engineering and technology teams and provide informed challenge on technical approaches
- Experience managing technology delivery through tools such as JIRA - tracking enhancements, bugs, and data delivery activities through to completion
- Strong analytical and problem-solving skills with the ability to evaluate complex data scenarios, identify data quality issues, and develop practical solutions
- Excellent communication and stakeholder management skills - able to present complex data concepts clearly and concisely to senior audiences and translate business needs into actionable data requirements
- Knowledge of or experience with AI tools, GenAI platforms, or automation technologies and their application to reporting and data workflow automation.
Education:
Bachelor's/University degree or equivalent experience. Master's Preferred
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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