Senior Business Analyst , Vice President

Description

Senior Business Analyst, Vice President, in the Decision Management job family under Business Analysis. The role leads key initiatives in a four-pillar intelligent servicing automation program.

You will take back-end servicing lifecycles from start to finish, combining predictive processing, risk-based governance and generative AI to remove manual handoffs. You will work with solutions architects, engineering leads and business stakeholders on scalable systems used across global operations.

Responsibilities

• Lead discovery, feasibility studies and business process mapping for strategic automation initiatives.
• Turn business goals into structured epics, user stories, clear acceptance criteria and workflow diagrams.
• Work with architects and engineering leads so technical designs meet business needs, operating standards and control requirements.
• Remove manual steps from back-end servicing across transaction processing, validation, exception handling and reconciliation.
• Analyse data with SQL and profiling to find root causes, confirm business logic and measure automation results.
• Run backlog refinement, take part in sprint planning and present at sprint demonstrations with engineering teams.
• Deploy predictive models that learn from client history and responses to push transactions straight through.
• Build a tiered, risk-based automation framework that ties controls and oversight to transaction risk, with tighter governance for high-risk activity.
• Build generative AI solutions for control execution, live monitoring, compliance checks and early exception detection.

Requirements

• Recommended: 6+ years in data analytics, product management or business analytics, preferably in banking.
• Recommended: proven experience leading technical business analysis and large automation or digital transformation programs in financial services.
• Recommended: ability to structure loosely defined problems and build agreement across business, product, risk and engineering leaders.
• Recommended: strong skill in leading discovery, breaking work into epics and writing high-quality user stories with testable acceptance criteria.
• Recommended: working knowledge of Python scripting and prompt engineering for analysis, prototyping and generative AI work.
• Recommended: hands-on SQL, data modelling and dataset profiling to check business rules and measure automation performance.
• Recommended: excellent stakeholder management to build consensus across business, product, risk and engineering leaders.
• Bachelor's degree or university degree, or equivalent experience.
• Preferred: master's degree.
• Experience in wholesale lending operations, high-risk cash movement and payment servicing platforms.
• Plus: knowledge of loan products or credit risk management.
• Expertise in back-end transaction lifecycle automation, exception management, straight-through processing and operational reconciliations.
• Deep understanding of operational risk, tiered control frameworks and regulatory compliance in financial institutions.
• Practical knowledge of enterprise workflow orchestration platforms, modern integration patterns and AI governance in operations.

Conditions

Full-time role based in Tampa, Florida, United States.

Base salary range is $113,840.00 to $170,760.00.

Hiring decisions are made and checked by people, not automated systems, and Illinois residents receive an AI notice.

Benefits

• Medical, dental and vision coverage.
• 401(k) plan.
• Life, accident and disability insurance.
• Wellness programs.
• Paid vacation, sick leave and paid holidays.
• Discretionary and formulaic incentive and retention awards for eligible employees.
• Offerings vary by jurisdiction, job level and date of hire.
• Senior management exposure and chances to make high-impact process improvements.
• Build leadership skills and work with leaders across the bank.
• Take on larger projects or programs over time.
• Sharpen presentation skills across verbal, PowerPoint and Excel formats.
• Grow subject matter expertise in data across Citigroup, lending and the company systems.