Architecture Sr Lead Analyst, Senior Vice President

CitiJersey City, NJ
$156,160 - $234,240Onsite

About The Position

Citi Wealth is a unified wealth organization delivering holistic wealth management solutions to clients across the entire wealth continuum. Serving clients globally, Citi Wealth provides a full suite of investment, banking, lending, insurance, trust, planning, and advisory services across Citigold, Citi Private Client, the International Private Bank, and Citi Private Bank. Citi’s Wealth organization supports this global franchise through modern engineering capabilities and strategic technology innovation. As we accelerate our digital transformation, we are investing heavily in Generative AI, advanced investment platforms, and next-generation digital servicing experiences. We are seeking a Senior Solutions Architecture Lead to drive architecture strategy across Wealth Investments, AI-enabled platforms, digital servicing, and omnichannel client and advisor experiences.

Requirements

  • 10+ years of experience in large-scale financial services, preferably in Wealth Management or Investments.
  • Expertise in enterprise architecture, investment platforms, digital servicing, and AI/ML technologies.
  • Strong understanding of Generative AI, LLMs, RAG systems, and AI governance frameworks.
  • Proven leadership experience managing teams, budgets, and complex portfolios.
  • Excellent communication skills with the ability to influence senior leaders.
  • Strong analytical, prioritization, and decision-making capabilities.
  • Bachelor’s degree required; master’s degree preferred.

Nice To Haves

  • Cloud Platforms: AWS, GCP, Azure (enterprise cloud adoption, multi-cloud strategy)
  • Containerization & Orchestration: Kubernetes, EKS/GKE/AKS, Docker
  • Infrastructure-as-Code: Terraform, CloudFormation
  • Event Streaming & Messaging: Kafka, Confluent, MQ, Pub/Sub
  • Microservices Frameworks: Spring Boot, Node.js
  • API Platforms: REST, GraphQL, gRPC, OpenAPI/Swagger
  • Event‑Driven Architectures: Kafka Streams, Apache Flink
  • Integration Frameworks: MuleSoft, Apigee, Enterprise Integration Patterns
  • LLM Platforms: Azure OpenAI, OpenAI, Google Gemini, Anthropic Claude
  • AI Engineering: LangChain, LlamaIndex, Vector Databases (Pinecone, Chroma, Weaviate)
  • ML Platforms: Databricks, SageMaker, VertexAI
  • AI Governance: Model Risk Management (MRM), Responsible AI guardrails, Feature Stores
  • RAG Architectures: Document loaders, embeddings, retrieval pipelines
  • Data Engineering: Spark, Databricks, Kafka Connect
  • Frontend Frameworks: React, Angular, Vue.js
  • Mobile Platforms: iOS/Android (Swift, Kotlin), React Native
  • Omnichannel Servicing: Chat/Voice AI, NLP platforms, CRM integrations
  • Workflow & Case Management: Pega, ServiceNow, CRM Platforms (SFDC)
  • Portfolio Management & Trading: Charles River, Aladdin, Calypso, Murex
  • Financial Planning & Advisory Tools: MoneyGuidePro, NaviPlan, internal advisory platforms
  • Analytics Engines: FactSet, Bloomberg APIs, Market Data Feeds
  • Investment APIs: Order Management, Performance & Risk Analytics, Modeling APIs
  • Identity: OAuth2, OpenID Connect, SSO, SAML
  • Security: Key Management (KMS), Vault, Zero‑Trust Architecture
  • Observability: Splunk, Prometheus, Grafana, ELK/Elastic
  • CI/CD: GitLab, Jenkins, GitHub Actions, ArgoCD
  • Enterprise Architecture: TOGAF, ArchiMate, LeanIX
  • Review & Compliance: ARB processes (Permit to Design, Build, Deploy)
  • Design Tools: Draw.io, Lucidchart, Mermaid, Visio

Responsibilities

  • Define a multi-year architecture strategy aligned with business priorities and the Wealth technology vision across key domains, including Digital, Operations, Investments, and AI/ML platforms.
  • Own portfolio-level roadmaps covering investments, digital journeys, advisor tools, AI copilots, and omni-channel servicing.
  • Architect and scale GenAI capabilities across Wealth, including: Advisor and banker copilots, Personalized investment insight generation, Conversational servicing experiences, Knowledge retrieval and RAG pipelines.
  • Partner with Data & AI Engineering to operationalize models in alignment with responsible AI and enterprise governance.
  • Lead design for platforms supporting: Portfolio construction & model portfolio management, Managed accounts & discretionary mandates, Investment research, analytics, and content workflows, Multi-asset trading integration, Suitability, risk profiling, and investment planning.
  • Drive modernization using microservices, cloud-native patterns, event streaming, and API-first architecture.
  • Own the architecture for digital wealth and banking servicing, including: End-to-end digital servicing journeys, Mobile & web experiences, Chat, voice, and intelligent servicing capabilities, Workflow orchestration and CRM integration.
  • Ensure seamless end-to-end integration with core banking, investments, operations, and client data platforms.
  • Establish and enforce architectural standards, design patterns, cloud practices, and AI/ML controls.
  • Lead architecture review boards and drive alignment with enterprise frameworks.
  • Evaluate and influence vendor solutions across investment technology, AI, and digital servicing platforms.
  • Partner with senior leadership across Wealth Investments, Digital Servicing, Product, Operations, and Advisor organizations.
  • Communicate complex architectural decisions and trade-offs to senior executives.
  • Support business strategy with technology insights and recommendations.
  • Ensure compliance with Citi’s risk, cybersecurity, AI governance, data privacy, and model risk management standards.
  • Promote transparency, accountability, and robust control practices across architecture functions.

Benefits

  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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