Lead Finance Business Architect, Senior Vice President

Job d:

Location:

London, England, United Kingdom Category:
Technology, Architecture, Enterprise Architecture & Transformation, Professional Company:
Citi Do you excel at bringing clarity from ambiguity? We are building out a Business Architecture practice to guide transformational IT improvements supporting Citi's global Finance functions. The Business Architect (SVP) will leverage broad domain knowledge, deep experience influencing IT architecture change, and outstanding communication skills to articulate the comprehensive future vision of Citi's Finance functional architecture — and how AI and automation will power it tomorrow.

Responsibilities Lead collaboration with Finance and Shared Services to define current and future-state business architectures anchored to business processes and functions

Partner with data architects to influence data architecture — including Finance-wide data vision, governance, and platform direction — in support of the business architecture

Align strategic technical investments to the target state architecture across all Finance technology partners, governing and justifying any deviations

Develop and evangelise business architecture principles guaranteeing straight-through processing and the timeliness, completeness, and accuracy of financial reporting

Champion Citi architecture principles and standards, counselling engineering teams on application in deliverables

Provide early-stage architecture input to shape Book of Work scope and sequencing, and play a leading role in the Finance Tech Design Authority Own and govern Permit to Design / Permit to Build processes, and produce architecture strategy papers and executive investment narratives for senior Finance and Technology leadership

Identify, evaluate, and prioritise opportunities to embed AI, ML, and GenAI within Finance processes, defining governance and control frameworks

Lead capability mapping, maturity assessments, and heat maps informing investment prioritisation; maintain oversight of the centralised architecture knowledge repository

Champion continuous improvement of the business architecture discipline — driving best practices, tooling, and training

Finance Domain & Transformation Experience Deep knowledge of FP&A (budgeting, forecasting, variance analysis, close), Treasury (cash, liquidity, FX, intercompany), and Management Reporting (aggregation, allocation, multi-dimensional reporting) processes and their architectural implications

Proven experience leading Finance transformation programmes, with the ability to define target architectures and guide delivery teams through complex change including ERP migrations, ledger consolidations, and reporting modernisation

Deep familiarity with ERP platforms (e.g., SAP S/4

HANA, Oracle Financials), Performance Management tools (e.g., Anaplan, One Stream, SAP BPC, Oracle EPM), and cube technologies (e.g., Essbase, TM1)
Credible and influential with senior Finance SMEs, CDO and CIO stakeholders, and delivery leaders on system design, data strategy, and process change

Qualifications

Extensive experience in an engineering and/or architecture capacity supporting Finance or related business functions, ideally in Financial Services Proven track record delivering cross-functional business process improvement and enterprise-wide architecture change

Experienced leading virtual teams in matrix environments; self-motivated and able to own initiatives end-to-end Outstanding communication skills enabling influence at all levels, from technical developers to the most senior executive leaders

Methodical, detail-oriented, with deep familiarity with modern enterprise information architecture practices AI Domain Knowledge:
Conceptual understanding of AI/ML, GenAI, and agentic automation and their applicability to Finance use cases including anomaly detection, forecasting, and regulatory reporting AI Personal Productivity:
Demonstrated ability to use AI tools effectively, including prompt engineering, iterative refinement, and critical evaluation of AI-generated content

Responsible AI Use:
Understanding of data confidentiality and responsible use obligations when leveraging AI in a regulated financial services environment------------------------------------------------------Job Family Group:
Technology------------------------------------------------------Job Family:

Enterprise Architecture & Transformation------------------------------------------------------Time Type:

Full…