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 (Gen. AI) 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 specifications for data quality rules, data lineage, and data layer components, partnering closely with technology teams to ensure robust implementation. Actively manage, update, and ensure timely resolution of project artifacts, tasks, issues, and action items within JIRA or similar project management tools, maintaining accurate tracking of progress and dependencies. Contribute to the design, documentation, and maintenance of logical and physical data layers, including advanced data models, data dictionaries, and data lineage, to ensure robust, scalable, and efficient data solutions for Enterprise Risk Management. Identify, analyze, and troubleshoot complex data quality gaps and issues, collaborating with business data owners and technology teams to propose and implement effective remediation strategies and monitoring routines. Review and validate business requirements, data lineage, and supporting documentation for downstream risk reporting and analytics solutions, ensuring consistency, traceability, and governance alignment. Contribute to the creation and maintenance of detailed data flow diagrams, process maps, and system documentation, ensuring accuracy and completeness. Participate in data governance forums and support the implementation of reporting and tooling for the ERM Data Operating Model. Assist with the tracking and remediation of RAID (Risks, Assumptions, Issues, Dependencies) log items and overall project progress against established plans. Collaborate with business data owners to understand existing data processes and contribute to defining new, innovative requirements for end-to-end data solutions. Qualifications. Experience:5-7 years of progressive experience in data or systems analysis and solution delivery, with emphasis on data analytics, data quality initiatives, data governance, and system implementation within the financial services industry. Hands-on AI/ ML & Agentic AI Expertise:Demonstrated hands-on experience and advanced proficiency in designing, developing, and implementing AI/ ML and Agentic AI solutions at an enterprise level. This includes practical experience with model development, deployment, and ML - Ops. Strong working knowledge and practical application of Agentic AI, LLM, and Gen. AI tools for data analysis, automation, and solution development. Expert-level proficiency in data analysis and management tools and applications, including Oracle, PL-SQL, advanced data lineage tools, and enterprise data cataloging solutions. Familiarity with business intelligence and reporting concepts (e.g., dashboards, metrics, and reporting layers); experience reviewing documentation for BI tools such as Tableau is a significant plus. Independent Work & Mentorship:Proven ability to work independently, taking full ownership of projects and initiatives from concept to delivery, with minimal supervision. Experience mentoring junior team members, fostering skill development, and contributing to team-wide knowledge sharing. Domain Expertise:Prior experience in the banking or financial services industry is required, with exposure to enterprise risk management or specific risk management categories, including an understanding of the role of data in risk reporting, monitoring, and decision-making. Soft Skills:Exceptional analytical, problem-solving, and organizational skills, with the ability to interpret highly complex data requirements, synthesize diverse information, and translate them into actionable specifications. Superior verbal and written communication skills, capable of articulating highly technical concepts clearly and persuasively to diverse audiences. Advanced proficiency in Microsoft Excel, PowerPoint, and data flowcharting tools, with a proven ability to create visually engaging, data-driven, and highly informative presentations. Demonstrated ability to communicate effectively, influence stakeholders, drive consensus, and navigate complex organizational structures in a dynamic, fast-paced environment. Education:Bachelor's degree required in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics); Master's degree preferred.---------------------------------------- --------------Job Family Group: Data Governance----------------------------- -------------------------Job Family:Data Governance Foundation---------------------------- --------------------------Time Type:Full time--------------------------------- ---------------------Primary Location:Tampa Florida United States------------------------------ ------------------------Primary Location Full Time Salary Range:$87,280.00 - $130,920.00 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 Constructive Debate, Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy and Procedure, Program Management, Risk Controls and Monitors, Risk Management.---------------------------------- --------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.--------------------------------- ---------------------Anticipated Posting Close Date:May 27, 2026---------------------------- --------------------------