Enterprise Architecture Manager, Senior Vice President

Job description

Role Overview

The Enterprise Architecture Manager is a strategic senior technical leader responsible for defining, directing, and governing the enterprise target state architecture, technology portfolio lifecycle, and modernization roadmap across Citi's global technology estate. In this role, you will lead the transformation of application architecture governance, software and infrastructure inventory management, data analytics capabilities, and the operationalization of next-generation enterprise AI patterns.

Operating at the intersection of business strategy, enterprise architecture, and emerging AI technologies, you will partner with senior technology, risk, compliance, and business leaders to drive enterprise-wide modernization programs, elevate data quality, mitigate technical debt, and ensure continuous regulatory and audit readiness.

Key Responsibilities

• Enterprise Architecture Governance & Strategic Modernization Target State Architecture (TSA) & Blueprints: Define, govern, and maintain the Enterprise Target State Architecture, Transition Roadmaps, and Reference Architectures across all domains: Business, Data, Application, Technology, and Security (BDATS) .

Architecture Governance Framework

Operationalize Architecture Review Boards (ARBs), establish enterprise Architecture Decision Records (ADRs), and enforce adherence to standard frameworks (e.g., TOGAF 10, BIAN ).

Application & Infrastructure Portfolio Management (APM)

Oversee global application inventory, software asset lifecycles, and CMDB data fidelity to eliminate architectural debt, manage obsolescence, and support cloud migration and legacy modernization initiatives.

Root Cause & Impact Analysis

Conduct in-depth technical investigations, Root Cause Analyses (RCA), and structural impact assessments on core operating platforms to engineer proactive systemic guardrails.

• Multi-Agent Systems, Autonomous Engineering & AI Architecture Autonomous AI & Developer Platforms (Devin AI / AI Engineering): Architect and integrate autonomous software engineering agents and AI coding platforms (e.g., Devin AI , GitHub Copilot Workspace, Cursor, Claude Code) into the enterprise Software Development Life Cycle (SDLC), establishing secure sandboxing, verification pipelines, architectural compliance gates, and automated code review guardrails.

Agentic Orchestration & Patterns

Architect enterprise-grade pattern-based multi-agent systems utilizing frameworks such as Salesforce Agentic Architecture, LangGraph/AutoGen, and Agent-to-Agent (A2A) orchestration patterns (Supervisor-Worker, Hierarchical Planning, ReAct).

Model Context Protocol (MCP) Integration

Define and implement Model Context Protocol (MCP) standards and secure tool-calling interfaces to decouple LLMs and autonomous agents from backend enterprise services, databases, and microservices.

Knowledge Graphs & Semantic Ontologies

Architect Enterprise Architecture Knowledge Graphs (EAKG) using open semantic ontologies (RDF, OWL, SHACL, SPARQL) and GraphRAG (hybrid vector + graph retrieval) to anchor AI outputs to verified enterprise metadata and maintain portable, auditable corporate knowledge.

Hardware & Compute Strategy

Modernize procurement and resource allocation workflows for specialized AI/accelerator infrastructure (GPUs, TPUs, hybrid inference clusters).

• Quantitative Architecture Analytics, SQL & Portfolio Modeling Advanced SQL & Relational Data Analytics: Design and execute complex SQL queries (multi-table joins, window functions, CTEs, recursive queries) across enterprise CMDBs, APMs, data lakes, and transactional stores to interrogate architecture health, system dependencies, and technical risk metrics.

Advanced MS Excel Modeling & Reporting

Build sophisticated executive analytical models, interactive dashboards, and portfolio capacity/financial plans in MS Excel utilizing Power Query, Power Pivot.

Data Quality & Metrics Framework

Formulate Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) to gauge application health, cloud readiness, tech debt retirement, and regulatory compliance.

• AI Trust, Risk, Governance & Regulatory Compliance AI TRiSM & Guardrails Architecture: Establish comprehensive AI Trust, Risk, and Security Management (AI TRiSM) controls, deploying deterministic guardrails against prompt injection, model evasion, data poisoning, hallucination, and sensitive data leakage (PII/MNPI).

Model Monitoring & Observability

Implement enterprise observability and telemetry (OpenTelemetry, OpenInference) to track agent execution traces, latency budgets, token consumption, and continuous model/semantic drift .

Regulatory Alignment

Ensure enterprise systems comply with global financial regulatory mandates, including Model Risk Management (SR 11-7 / OCC 2011-12) , BCBS 239 data governance/lineage standards, DORA (Digital Operational Resilience Act) , and global AI statutory frameworks (e.g., EU AI Act, NIST AI RMF).

• Leadership, Stakeholder Influence & Operational Excellence Team Leadership & Resource Management: Lead, mentor, and allocate work across a high-performing team of enterprise, solution, and domain architects.

Executive Stakeholder Diplomacy

Guide, influence, and negotiate technical strategy with senior executives, line-of-business heads, control functions, and internal/external auditors.

Risk & Ethics Custodianship

Appropriately assess risk in all architectural decisions, safeguarding Citigroup's reputation, assets, and clients by enforcing transparent control issue reporting and sound ethical conduct. Required Technical Competencies & Architectural Concepts Enterprise & Distributed Systems Architecture (Must-Have)

Frameworks & Methodologies

TOGAF, BIAN (Banking Industry Architecture Network), Zachman, ArchiMate, Domain-Driven Design (DDD: Bounded Contexts, Domain Events, Ubiquitous Language).

Distributed Architecture Paradigms

Event-Driven Architecture (EDA), CQRS, Event Sourcing, CAP Theorem, zero-trust security architecture, microservices decomposition, and polyglot persistence.

Resilience & Scalability Patterns

Circuit Breaker, Bulkhead, Transactional Outbox, Rate Limiting, Active-Active multi-region topologies, and zero-downtime deployment patterns. Artificial Intelligence, Autonomous Agents & Agentic Engineering (Must-Have)

Autonomous AI Engineering (Devin AI)

Architecture patterns for autonomous developer agents (Devin AI, agentic CI/CD integration, self-healing code pipelines, sandbox isolation, and automated architectural rule validation).

Agentic Paradigms

Multi-Agent Systems (MAS), Agent-to-Agent (A2A) communication protocols, autonomous task decomposition, ReAct reasoning, and reflection loops.

Integration Protocols

Model Context Protocol (MCP), Function Calling / Tool Abstractions, OpenAPI/gRPC agent integrations. Data Analysis, SQL & Business Intelligence (Must-Have)

Intermediate SQL

Complex querying, analytical window functions.

Advanced MS Excel & Analytics

Expert proficiency with Power Query (ETL/M-code), Power Pivot, and executive dashboard visualization.

Qualifications

Experience: 10+ years of progressive experience in Enterprise Architecture, Solutions Architecture, or Technology Strategy within complex global environments.

Domain Background

Substantial experience in Financial Services or highly regulated, large-scale, matrixed enterprise environments preferred.

Autonomous AI & Modernization Delivery

Proven track record leading architectural transformation, autonomous/agentic AI tool adoption (e.g., Devin AI), and enterprise application portfolio modernization.

Quantitative & Analytical Rigor

Demonstrated mastery in data-driven decision making using advanced SQL data extraction, statistical benchmarking, and sophisticated MS Excel modeling.

Executive Communication

Superior written and verbal diplomacy skills with proven ability to communicate complex architectural trade-offs, analytical insights, and AI paradigms to non-technical, C-level, and regulatory audiences.

Education & Certifications Education

Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related quantitative field (or equivalent practical experience).

Advanced Degree

Master’s degree (M.S., M.Eng., or MBA) preferred.

Preferred Certifications

TOGAF Certified, BIAN Certified, Cloud Solutions Architect (AWS/Azure/GCP), Certified Information Systems Security Professional (CISSP), Microsoft Certified Data Analyst / Power BI, or equivalent AI/ML architecture credentials. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Infrastructure ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Irving Texas United States ------------------------------------------------------ Primary Location Full Time Salary Range: $156,160.00 - $234,240.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.

Citi offers competitive employee benefits, including

medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills

Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Nov 12, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening.

Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.