below marketmost similar roles pay hereabove market
This role pays more than
57%
of similar roles. Most pay
$160,400–$214,900
— the blue band above.
At the midpoint, this role pays about
$195k
versus about
$188k
for comparable roles.
Based on 240 similar postings.
Employer
About Citi
Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.
Citi currently has
273 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 256 roles with salary data.
Manager, Data, Reporting and Analytics – Fraud Domain leads the enterprise data architecture strategy within the Fraud domain. Based in the Enterprise Analytics Platform, this role involves managing a team of data architecture analysts to design and govern data frameworks powering global analytics and AI capabilities. Key responsibilities include defining information architecture principles, developing business architecture models, conceptual and logical data models, and data flows to improve data quality and reliability. The position requires expertise in big data platforms, enterprise information management, and the application of AI and machine learning in fraud detection and prevention. The role solves complex data interoperability problems and ensures architectural recommendations uphold compliance standards. Candidates must possess deep knowledge of agent architectures and experience delivering enterprise-scale solutions within complex financial services environments.
Lead the design and governance of the enterprise information architecture framework for the fraud domain.
Define information architecture principles and standards for the Enterprise Analytics Platform to support AI-driven use cases.
Develop and maintain enterprise information management artefacts including data models, flows, and remediation recommendations.
Architect high-level business data solutions to improve data interoperability and maximize the use of shared services.
Translate complex data requirements from senior stakeholders into actionable architectural solutions and scalable designs.
Manage and develop a team of data architecture analysts regarding performance, resource planning, and professional growth.
Evaluate data-related business decisions for risk, control implications, and compliance standards.
What we're looking for
Ten or more years of experience in banking or financial services with deep expertise in data architecture or enterprise information management.
Specialist knowledge of the fraud domain, including agent architectures and the application of AI and machine learning in fraud detection.
Demonstrated ability to design and deliver enterprise-scale data architecture solutions, including conceptual and logical data models and governance frameworks.
Experience leading cross-functional initiatives and managing delivery across multiple teams within complex, matrixed environments.
Exceptional communication and presentation skills with a track record of influencing senior executives and non-technical stakeholders.
Ability to manage competing priorities under pressure and drive consensus-based decision-making across large organizations.
Bachelor's degree or equivalent professional experience.
Master's degree or MBA in Information Management, Computer Science, Business, or a related field (preferred).
Data Architecture
Enterprise Information Management
Big Data
Artificial Intelligence
Machine Learning
Data Flow
Business Architecture
Data Quality
Data Standards
Enterprise Analytics
Data Remediation
Python
Data Science
Data, Analytics
Data Pipelines
Data Visualization
Advanced Analytics
Business Intelligence
Data Management
Risk Management
Process Improvement
SQL
Python
Power BI
Tableau
SnapLogic
Alteryx
Informatica
ETL
Data Analytics
Data Exploration
Statistics
Data Science
Structured Data
Unstructured Data