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Data AI Solutions Sr Analyst - C12 - TAMPA

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Citigroup Inc.
Full Time position
Listed on 2026-05-24
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Overview 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. Our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

As an Assistant Vice President Data Analyst (AVP C12) in the Enterprise Data Office Data Solutions team based in our Tampa office, you will be a key contributor to our Enterprise Risk Management strategy to leverage data as an asset. This role requires a strong, hands‑on professional with proven experience in data analytics, particularly in the direct implementation of advanced AI/ML and Agentic AI solutions at an enterprise level.

You will apply your expertise to develop, deploy, and optimize innovative data solutions, train team members, work independently on critical projects, and create impactful presentations that highlight key findings and recommendations. You will play a vital role in advancing our data governance and risk reporting capabilities within a dynamic global financial environment.

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.

Responsibilities
  • Hands‑on AI/ML & Agentic AI Solution Implementation:

    • Actively design, develop, and implement hands‑on, enterprise‑level AI/ML and Agentic AI solutions to enhance Enterprise Risk Reporting. This includes building and deploying models, developing intelligent automation, and integrating AI capabilities into existing data pipelines.

    • Directly contribute to the application of Agentic AI, LLM, and other Generative AI (GenAI) tools for creating innovative data analytical solutions, focusing on tangible, implementable outputs for Enterprise Risk Management.

    • Conduct rigorous testing, validation, and performance tuning of AI/ML models and solutions, ensuring their accuracy, reliability, and scalability in a production environment.

  • Mentorship & Team Contribution:

    • Mentor junior data analysts, sharing best practices in AI/ML implementation, data analysis, data governance, and project management to foster their technical growth and enhance team capabilities.

    • Actively contribute to a culture of continuous learning and improvement within the team, promoting knowledge sharing and collaborative problem‑solving.

  • Independent Project Execution & Presentation:

    • Work independently to manage and execute complex data analysis and AI/ML implementation projects from inception to completion, demonstrating strong ownership and problem‑solving skills.

    • Develop and deliver clear, concise, and standout presentations to internal stakeholders, summarizing technical findings, project progress, and actionable insights derived from AI/ML solutions.

  • Core Data Analysis & Governance:

    • Perform in-depth system and data analysis to support Enterprise Risk Management data initiatives, ensuring strict alignment with Citi's data governance policies (CDGP) and standards (CDGS) framework.

    • Gather and document comprehensive Business Requirements Documents (BRDs) and Functional Requirements Documents (FRDs) for complex data‑centric projects, including detailed…

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