Finance AI and Data Business Analyst - Assistant Vice President

Overview

Assistant Vice President role in Finance Technology, leading product strategy, business process redesign and AI, integration and automation capabilities that replace manual, non-compliant Finance workflows across the bank.

What you'll do

• Understand requirements through partnership with business users, cross-functional teams and stakeholders.
• Own the requirement backlog and roadmap, outlining the vision and direction for the product offering over time.
• Perform analysis and mapping to trace data lineage and develop conceptual and logical data models.
• Collaborate with teams and application owners to unify data concepts across finance applications across Citi.
• Appropriately assess risk and impact when business decisions are made, driving compliance with applicable laws, rules and regulations, and escalating and reporting control issues with transparency.
• Understand and anticipate user needs; analyze capability gaps, optimization opportunities and risk and control gaps.
• Provide evaluative judgment in complicated situations, weighing alternatives and balancing potentially conflicting information.
• Develop plans and execute functional strategies requiring coordination and integration across units.
• Help the team prioritize, negotiate and remove obstacles, and identify and remove product development blockers.
• Coordinate UAT testing with technology and business users.
• Conduct data analysis to document business requirements at the right level.

What you'll need

• Strong understanding of Finance processes and data flows: record to report, accounting, reconciliation, regulatory reporting and close process, with ability to interpret financial data.
• Familiarity with financial products and asset classes, and how transactions flow from source product systems to financial reporting.
• Strong working knowledge of AI/ML concepts and their practical applications in business processes across financial services.
• Ability to critically assess where AI adds value versus where traditional rule-based automation or process improvements are more effective.
• Process mapping and problem structuring, breaking down complex workflows into components.
• Proven ability to translate ambiguous business problems into structured AI opportunities, including problem statements, required data inputs and expected outcomes.
• Stakeholder and consulting skills to engage senior Finance stakeholders, ask the right questions and challenge current ways of working to identify root causes.
• Experience with automation and AI-led transformation projects.
• Techno-functional profile with hands-on experience building tech products that solve real problems in complex, regulated environments.
• Strong background in the financial domain and data modelling, accounting, ledger and asset classes.
• 5+ years of experience as a business analyst in financial services, driving BPM, digitization and transformation initiatives in a global set-up (preferred).
• Strong background in data management, data governance and transformation initiatives in a global set-up (preferred).
• Experience in logical data modelling, data warehouse and data fabric implementation.
• Data-oriented, with strong analytical and problem-solving skills, excellent attention to detail, and a deeply analytical and experimental mindset.
• Proven ability to use data to inform and validate decisions.
• MS Excel and SQL knowledge required, able to query data and analyze.
• Clear and concise written and verbal communication; proven interpersonal skills to partner and influence across organizational lines.
• Bachelor's degree/university degree in finance or statistics.

Nice to have

• Data analysis skills, basic SQL and Python.
• Master's degree in Finance or technology.
• Knowledge of Agile/Scrum/SAFe (certification preferred).

Details

• Location: Pune, Maharashtra, India.
• Full-time.