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
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.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
