Sr. Ent Risk Management Data Solutions Analyst, Assistant Vice President
Listed on 2026-06-19
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IT/Tech
Data Analyst, Data Engineering
Sr. Ent Risk Management Data Solutions Analyst, Assistant Vice President
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Job Req :
Location(s):
New York, New York, United States
Job Type:
Hybrid
Posted:
May. 22, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job OverviewOverview of the Role
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.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience.
We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride.
If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
Description
The AVP Data Analyst role contributes significantly to the Data Solutions efforts including definition, analysis, and implementation of data onboarding and aggregation requirements for Enterprise Risk Management reporting in adherence to the Citi Data Governance Policy (CDGP) and Standard (CDGS) framework.
Reporting into the Enterprise Risk Management Data Solutions team, this role is critical for supporting ongoing data initiatives by focusing on detailed system and data analysis, ensuring robust data quality, contributing to enterprise data layer design, solutioning and managing project artifacts efficiently, particularly within JIRA. This position requires a solid understanding of data management principles, data governance frameworks, and data operating models, coupled with strong analytical acumen and effective communication skills to identify, document, and support the remediation of data-related challenges.
Responsibilities
Conduct in-depth system and data analysis to support Enterprise Risk Management data initiatives, ensuring alignment with data governance policies and standards.
Gather and document comprehensive business requirements (BRDs) and functional requirements (FRDs) for data-centric projects, including detailed specifications for data quality rules, data lineage, and data layer components, partnering closely with technology teams to support implementation
Actively manage and update project artifacts, tasks, issues, and action items within JIRA or similar project management tools, ensuring accurate tracking of progress, dependencies, and timely resolution.
Contribute to the design, documentation, and maintenance of logical and physical data layers, including data models, data dictionaries, and data lineage, to ensure robust, scalable, and efficient data solutions.
Identify, analyze, and troubleshoot data…
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