Finance Data Analytics and Utility - SVP

Overview

The Strategic Ledger program is a key initiative within Citi's Finance Transformation that focuses on implementing a new General Ledger and Contract Sub-Ledger solution across all legal entities, countries, and products, aiming to modernize financial systems.

The Fin Solutions Sr. Lead Analyst is a strategic professional role that will help modernize the way we are implementing the Strategic Ledger, eliminating manual and redundant processes by leveraging modernized technologies involving soft coding, data profiling, and artificial intelligence / machine learning.  The data analytics role will provide a center of excellence for data analysis and drive a book of work to enhance data driven intelligence and decisions.  This will be a horizontal team that works across the program to support various areas and provide a cohesive approach to data analysis and insights.

To be successful at the role, you are also required to possess an excellent understanding of process reengineering, whilst having strong communication, negotiation, and diplomacy skills, often interacting with senior leadership both internally and with external customers. You will be accountable for significant business results and providing authoritative advice on business operations, with a degree of responsibility over technical strategy within a sub-function. Responsibilities may include staff management, resource allocation, and work distribution within the team.

Key Responsibilities

Strategic Vision & Product Leadership

• Define and drive the long-term product vision and strategy for financial data profiling and AI tools, ensuring alignment with organizational goals for financial control, reconciliation, and advanced analytical capabilities.
• Proactively identify and assess market trends, emerging AI/ML technologies, and automation opportunities to enhance data discovery testing and substantiation processes.
• Translate complex business requirements related to financial ledger data discovery, reconciliation/proving, workflow optimization, and data analytics into a clear, actionable product roadmap.
• Formulate and set strategic direction for processes, organization, and architecture covering Finance across Citi businesses, products, functions, and locations.
• Develop and manage the product lifecycle for data discovery and reconciliation tools, enforcing and delivering solutions that accurately depict data elements, structures, processes, and differences between legacy and target finance ledger systems.

Workflow Enhancement & Data Analytics

• Drive the enhancement of workflow processes and data analytics capabilities, leveraging AI/ML for anomaly detection, data matching, and predictive insights in financial data.
• Participate in assessing and incorporating changing business, regulatory, and market information needs into finance processes and applications.

Stakeholder Engagement & Communication

• Liaison between business stakeholders (finance, controllers, reporting teams), technology teams (data engineering, AI/ML specialists), and external partners.
• Lead improvement for the Strategic Ledger tooling.
• Provide advice to internal clients on the implications of business trends, issues, operating environment changes, and firm or business unit strategy.

Compliance, Governance & Risk Management

• Ensure all data discovery, reconciliation products, and AI tools strictly adhere to financial and regulatory reporting standards and internal compliance frameworks, demonstrating the integrity of financial books and records through testing and substantiation.
• Oversee the integration of compliance and audit requirements directly into the product design and delivery process, focusing on transparent and auditable reconciliation outcomes.
• Appropriately assess risk when making business decisions, safeguarding Citigroup's reputation, clients, and assets by ensuring compliance with laws, rules, and regulations, adhering to Policy, applying sound ethical judgment, and escalating/managing control issues transparently.

Technical Expertise & Implementation

• Leverage expertise in AI/ML frameworks, workflow automation platforms, and advanced data analytics tools to optimize the identification, analysis, and resolution of reconciliation differences.
• Explore and integrate cutting-edge AI-powered solutions for scalable and intelligent financial data utility.
• Possess a strong understanding of financial data architecture, data modeling, and advanced data analytics techniques.
• Guide the implementation of robust data controls, data lineage, tracing, and data quality rules specifically for comparative