Senior Business Analyst , Vice President

Citigroup; Tampa (FL); On-site; USD 102,000 - 125,000; Full time

Job summary

Citigroup in Tampa, Florida, is seeking a senior IT Business Lead Analyst to lead a four-pillar intelligent servicing automation initiative. You will drive end-to-end back-end lifecycle transformation, leveraging predictive processing, risk-based governance, and generative AI to reduce manual touchpoints across global operations.

You will collaborate with architects and engineering leads to translate objectives into epics and user stories, drive discovery, and implement AI-driven automation with

Qualifications

• 6+ years of experience in Data Analytics, Product Management, or Business Analytics, preferably in banking.
• Proven experience leading large-scale automation or digital transformation programs in financial services.
• Demonstrated ability to structure loosely defined problems, build consensus across business, risk, and engineering leadership.
• Strong end-to-end discovery skills, epic breakdowns, and high-quality user stories with clear acceptance criteria.
• Proficient in Python scripting and prompt engineering to support data analysis and AI implementations.
• Hands-on experience with SQL, data modeling, and dataset profiling to validate rules and performance.

Responsibilities

• Lead end-to-end discovery phases, feasibility studies, and business process mapping for intelligent servicing initiatives.
• Translate objectives into epics, user stories, and acceptance criteria with detailed workflow diagrams.
• Collaborate with architects and engineering leads to ensure designs meet requirements and governance standards.
• Automate back-end servicing lifecycles by reducing manual touchpoints across processing, validation, and reconciliation.
• Perform data analysis using SQL to uncover root causes and validate automation performance.
• Drive backlog refinement, sprint planning, and demos with cross-functional teams.
• Deploy predictive processing models to drive straight-through transaction execution.
• Establish a tiered risk-based automation framework with governance for high-risk activities.
• Implement generative AI solutions to automate control execution, monitoring, and compliance validation.

Skills

SQL

Python

Prompt Engineering

Data Analytics

Stakeholder Management

Back-end Automation

Analytical Thinking

Education

Bachelor's degree / University degree

Master's degree preferred

Job description

The IT Business Lead Analyst is a senior-level position responsible for directing and delivering key initiatives within our four-pillar intelligent servicing automation program. In this role, you will drive the end-to-end transformation of back-end servicing lifecycles, integrating predictive processing, risk-based governance, and generative artificial intelligence to eliminate manual operational touchpoints. You will partner with solutions architects, engineering leads, and business stakeholders to design scalable systems leveraging predictive processing, risk-based governance, and generative artificial intelligence across global operations.

Responsibilities:

• Lead end-to-end discovery phases, feasibility studies, and business process mapping for strategic intelligent servicing and automation initiatives
• Translate high-level business objectives into structured epics, detailed user stories, unambiguous acceptance criteria, and comprehensive workflow diagrams.
• Collaborate with solutions architects and engineering leads to ensure technical designs satisfy business requirements, operational standards, and control mandates
• Automate back-end servicing lifecycles by eliminating manual touchpoints across transaction processing, validation, exception management, and reconciliation.
• Perform data analysis using SQL and data profiling techniques to uncover root causes, validate business logic, and evaluate automation performance.
• Drive backlog refinement sessions, sprint planning participation, and sprint demonstrations alongside cross-functional engineering teams.
• Deploy predictive processing models that analyze historical client behavior and response patterns to drive straight-through transaction execution.
• Establish a tiered risk-based automation framework that aligns controls and oversight to transaction risk profiles with enhanced governance for high-risk activities.
• Implement generative artificial intelligence solutions to automate control execution, real-time monitoring, compliance validation, and proactive exception identification.
• Translate high-level strategic objectives into structured epics, detailed user stories

Personal Development:

In the role, the business analyst will have opportunities for senior management exposure, to make highly impactful process improvements, and to grow their leadership skills.

• The business analyst will:
• Gain leadership skills and exposure to other leaders across the bank
• Grow to lead larger projects/programs over time.
• Enhance presentation skills that cater to the audience using multiple mediums (verbal, PowerPoint, Excel, etc.)
• Grow subject matter expertise in data across Citigroup, lending concepts, Citi systems and
• undefined

Recommended Qualifications :

• 6 + years of experience working in Data Analytics, Product Management, Business Analytics , preferably in banking domain.
• Proven experience leading technical business analysis and delivering large-scale automation or digital transformation programs within financial services.
• Demonstrated ability to step into loosely defined problem spaces, structure complex challenges, and establish consensus across business, product, risk, and engineering leadership.
• Strong expertise in leading end-to-end discovery, defining epic breakdowns, and writing high-quality user stories with clear, testable acceptance criteria.
• Working knowledge of Python scripting and prompt engineering techniques to support data analysis, prototyping, and generative artificial intelligence implementations
• Hands-on proficiency with SQL, data modeling, and dataset profiling to validate business rules and evaluate automation performance.
• Exceptional stakeholder management skills with the ability to build consensus across business, product, risk, and engineering leadership.

Education:

• Bachelor's degree/University degree or equivalent experience
• Master's degree preferred

Additional Qualifications:

• Experience in wholesale lending operations, high-risk cash movement and payment servicing platforms.
• Knowledge of loans products or credit risk management is a plus.
• Demonstrated expertise in back-end transaction lifecycle automation, exception management workflows, straight-through processing, and operational reconciliations.
• In-depth understanding of operational risk management, tiered control frameworks, and regulatory compliance standards in financial institutions.
• Practical knowledge of enterprise workflow orchestration platforms, modern integration patterns, and operational artificial intelligence governance.

Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Full time

Primary Location:

Tampa Florida United States

Primary Location Full Time Salary Range:

$113,840.00 -