Overview
In this role, you will shape Citi’s Finance functional architecture and articulate a clear future state. You will work with Finance and Shared Services to define current and target architectures, guiding AI-enabled improvements and ensuring governance across data and platforms. You’ll influence technology decisions, mentor teams on architecture principles, and drive executive investment narratives. This is a strategic, cross-functional opportunity to transform Finance processes and reporting through architecture-led design.
Responsibilities
- Lead collaboration with Finance and Shared Services to define current and future-state business architectures
- Partner with data architects to influence Finance-wide data vision, governance, and platform direction
- Align strategic technical investments to the target state architecture across Finance technology partners
- Develop and evangelise business architecture principles for straight-through processing and accurate financial reporting
- Champion Citi architecture principles and advise engineering teams on application
- Shape Book of Work scope and sequence and participate in Finance Tech Design Authority
- Own and govern Permit to Design/Permit to Build processes; produce architecture strategy papers and executive investment narratives
- Identify and prioritise opportunities to embed AI/ML/GenAI within Finance processes with governance
- Lead capability mapping, maturity assessments, and heat maps to inform investment prioritisation
- Maintain central architecture knowledge repository and promote continuous improvement of the business architecture discipline
Key requirements
- Extensive experience in an engineering/architecture capacity supporting Finance or related functions (financial services preferred)
- Proven track record delivering cross-functional business process improvement and enterprise-wide architecture change
- Experience leading virtual/matrix teams; ability to own initiatives end-to-end
- Outstanding communication skills for influence from developers to senior executives
- Methodical, detail-oriented approach with modern enterprise information architecture practices
- AI domain knowledge: conceptual understanding of AI/ML, GenAI, and agency automation in Finance use cases
- Experience with prompt engineering and AI-enabled productivity
- Understanding of data confidentiality and Responsible AI in regulated financial services
- strong stakeholder management
- influencing and communication
- collaboration across cross-functional teams
- AI/GenAI concepts and governance
- Finance data architecture and governance
- ERP ecosystems (SAP S/4HANA, Oracle Financials)
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