Manager, Data Architecture, Reporting and Analytics to lead enterprise data architecture strategy within the Fraud domain, owning the design and governance of data frameworks that power Citi's global analytics and AI capabilities. Based within the Enterprise Analytics Platform - a large-scale big data environment supporting critical financial services operations - this is a high-impact leadership position where your architectural decisions directly shape data quality, accessibility, and reliability at a global scale. You will manage a team of data architecture analysts and serve as a key voice in shaping the data foundations that underpin fraud detection and prevention across one of the world's leading financial institutions.
Responsibilities- Lead the design and governance of Citi's enterprise information architecture framework, improving data availability, accessibility, quality, and reliability across business functions.
- Define information architecture principles and standards for the Enterprise Analytics Platform, ensuring alignment with fraud domain requirements and AI-driven use cases.
- Develop and maintain enterprise information management artefacts, including business architecture models, conceptual and logical data models, data flows, data standards, adoption strategies, and data remediation recommendations.
- Architect high-level business data solutions that accelerate application design, improve data interoperability, and maximize the use of shared services and assets across the organization.
- Partner with senior business and technology stakeholders to translate complex data requirements into actionable architectural solutions, identifying cross-functional data patterns and scalable designs.
- Manage and develop a team of data architecture analysts, with accountability for performance, resource planning, and professional growth aligned to functional objectives.
- Evaluate data-related business decisions for risk and control implications, ensuring architectural recommendations uphold compliance standards and protect the integrity of Citi's data assets.
Required Qualifications & Skills- Ten or more years of experience in banking or financial services, with deep expertise in data architecture, enterprise information management, or a closely related discipline.
- Specialist knowledge of the fraud domain, including familiarity with agent architectures and the application of AI and machine learning in fraud detection and prevention.
- Demonstrated ability to design and deliver enterprise-scale data architecture solutions, including conceptual and logical data models, data flows, and governance frameworks.
- Experience leading cross-functional initiatives and managing delivery across multiple teams or organizational counterparts within complex, matrixed environments.
- Exceptional communication and presentation skills, with a track record of engaging and influencing senior executives and non-technical stakeholders.
- Ability to manage competing priorities under pressure and drive consensus-based decision-making across large, cross-functional organizations.
- Bachelor's degree or equivalent professional experience.
Beneficial Skills & Qualifications- Master's degree or MBA in Information Management, Computer Science, Business, or a related field.
- Hands-on experience with big data platforms and enterprise analytics environments operating at scale.
- Familiarity with AI and agentic system design principles as applied to data architecture within financial services contexts.
What We OfferAt Citi, you will have the scope to lead work that matters - shaping how fraud is detected, prevented, and managed across a global financial institution. This is a role with real ownership, strategic reach, and the opportunity to build high-performing teams in a performance-driven environment that recognizes and rewards impact.
- A hybrid working model with 3 days in the office and 2 days working remotely, providing flexibility alongside meaningful in-person collaboration.
- Strategic leadership scope across a global enterprise, with direct ownership of data architecture decisions that influence critical financial services operations.
- Engagement with cutting-edge AI and agent-based technologies applied to fraud detection and enterprise analytics.
- Access to learning and development programs that support continued technical leadership and career advancement at a global scale.
- Wellbeing and financial benefits tailored to senior professionals, alongside a culture that values sustained high performance and work-life balance.
Apply now to take ownership of Citi's fraud data architecture strategy and shape the AI-driven future of financial crime prevention at a global scale.
Job Family Group: Technology
Job Family:Data Architecture
Time Type:Full time
Primary Location:Irving Texas United States
Primary Location Full Time Salary Range:$156,160.00 - $234,240.00
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.
Most Relevant Skills Please see the requirements listed above.
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:Oct 09, 2026
Automated Processing and AIWe 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.
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