Enterprise Architecture Manager, Senior Vice President

Citi • Irving, TX

4d • $156,160 - $234,240

About The Position

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. The role leads transformation of application architecture governance, software and infrastructure inventory management, data analytics capabilities, and enterprise AI patterns. It partners with senior technology, risk, compliance, and business leaders to drive modernization, improve data quality, mitigate technical debt, and maintain regulatory and audit readiness.

The role defines and governs enterprise architecture blueprints and transition roadmaps across business, data, application, technology, and security domains. It establishes architecture review and decision-record processes, oversees application and infrastructure portfolios, and performs root-cause and impact analyses. It also architects autonomous software-engineering platforms, multi-agent systems, Model Context Protocol integrations, enterprise knowledge graphs, and AI compute strategies.

The position uses SQL and advanced Excel to analyze architecture and portfolio data, build executive models and dashboards, and establish risk and performance measures. It establishes AI trust, risk, security, monitoring, and regulatory controls, while leading and mentoring architects and influencing senior executives, business leaders, control functions, and auditors. The position is based in Irving, Texas, and is full time.

Requirements

• 10 or more years of progressive experience in enterprise architecture, solutions architecture, or technology strategy in complex global environments.
• Experience leading architectural transformation, autonomous or agentic AI tool adoption, and enterprise application portfolio modernization.
• Demonstrated advanced SQL skills, including complex queries and analytical window functions.
• Expert proficiency with Excel, including Power Query, Power Pivot, and executive dashboard visualization.
• Demonstrated data-driven decision-making using SQL extraction, statistical benchmarking, and sophisticated Excel modeling.
• Strong written and verbal communication and diplomacy skills, including communicating architectural trade-offs and analytical insights to non-technical, C-level, and regulatory audiences.
• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related quantitative field, or equivalent practical experience.
• Knowledge of enterprise architecture frameworks and methodologies, including TOGAF, BIAN, Zachman, and ArchiMate.
• Knowledge of Domain-Driven Design concepts, including bounded contexts, domain events, and ubiquitous language.
• Knowledge of distributed architecture paradigms including event-driven architecture, CQRS, event sourcing, the CAP theorem, zero-trust security, microservices decomposition, and polyglot persistence.
• Knowledge of resilience and scalability patterns including circuit breakers, bulkheads, transactional outbox, rate limiting, active-active multi-region topologies, and zero-downtime deployment.
• Experience or architectural knowledge in autonomous developer agents, agentic CI/CD integration, self-healing code pipelines, sandbox isolation, and automated architectural rule validation.
• Knowledge of multi-agent systems, agent-to-agent protocols, autonomous task decomposition, ReAct reasoning, and reflection loops.
• Knowledge of Model Context Protocol, function calling/tool abstractions, and OpenAPI or gRPC agent integrations.

Nice To Haves

• Substantial experience in financial services or another highly regulated, large-scale, matrixed enterprise environment.
• Master’s degree (M.S., M.Eng., or MBA).
• TOGAF certification.
• BIAN certification.
• Cloud Solutions Architect certification for AWS, Azure, or GCP.
• CISSP certification.
• Microsoft Certified Data Analyst or Power BI certification.
• Equivalent AI/ML architecture credentials.

Responsibilities

• Define, govern, and maintain enterprise target-state architecture, transition roadmaps, and reference architectures across business, data, application, technology, and security domains.
• Operationalize Architecture Review Boards, establish enterprise Architecture Decision Records, and enforce standard architecture frameworks.
• Oversee global application inventories, software asset lifecycles, and CMDB data fidelity to address architectural debt and obsolescence and support cloud migration and modernization.
• Conduct technical investigations, root-cause analyses, and impact assessments on core operating platforms, and develop proactive systemic guardrails.
• Architect and integrate autonomous software-engineering agents and AI coding platforms into the SDLC, including secure sandboxing, verification pipelines, compliance gates, and automated code-review guardrails.
• Architect enterprise multi-agent systems and orchestration patterns using applicable agent frameworks and patterns.
• Define and implement Model Context Protocol standards and secure tool-calling interfaces connecting AI models and agents with enterprise services and data.
• Architect enterprise architecture knowledge graphs and GraphRAG solutions using semantic ontologies to ground AI outputs in verified enterprise metadata.
• Modernize procurement and resource-allocation workflows for AI accelerator infrastructure and hybrid inference clusters.
• Design and execute complex SQL queries across CMDBs, application portfolio systems, data lakes, and transactional stores to analyze architecture health, dependencies, and risk.
• Build executive analytical models, dashboards, and portfolio capacity and financial plans in Excel using Power Query and Power Pivot.
• Establish KPIs and KRIs to measure application health, cloud readiness, technical-debt retirement, and regulatory compliance.
• Establish AI trust, risk, and security controls addressing prompt injection, model evasion, data poisoning, hallucination, and sensitive-data leakage.
• Implement observability and telemetry for agent traces, latency, token consumption, and model or semantic drift.
• Ensure systems align with financial-services regulatory mandates and AI frameworks, including SR 11-7/OCC 2011-12, BCBS 239, DORA, the EU AI Act, and NIST AI RMF.
• Lead, mentor, and allocate work across enterprise, solution, and domain architects.
• Influence and negotiate technical strategy with senior executives, business leaders, control functions, and auditors.
• Assess architectural risks and enforce transparent control-issue reporting and ethical conduct.

Benefits

• Medical, dental, and vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off, including vacation and sick leave
• Paid holidays
• Eligible employees may receive discretionary and formulaic incentive and retention awards

What This Job Offers

• Job Type: Full-time
• Career Level: Senior