Role Overview The Senior Solutions Architecture Lead is responsible for shaping the long-term ... GenAI & Advanced Analytics * Architect and scale GenAI capabilities across Wealth, including:
Role Overview The Senior Solutions Architecture Lead is responsible for shaping the long-term ... GenAI & Advanced Analytics * Architect and scale GenAI capabilities across Wealth, including:
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Senior Lead Analyst information
See salary details
$53.5K - $61.6K
1% of jobs
$61.6K - $69.7K
1% of jobs
$69.7K - $77.8K
3% of jobs
$77.8K - $85.9K
12% of jobs
$91.2K is the 25th percentile. Wages below this are outliers.
$85.9K - $94K
12% of jobs
$94K - $102K
14% of jobs
The median wage is $106.1K / yr.
$102K - $110.1K
14% of jobs
$110.1K - $118.2K
10% of jobs
$118.2K - $126.3K
3% of jobs
$126.3K - $134.4K
2% of jobs
$135.3K is the 75th percentile. Wages above this are outliers.
$134.4K - $142.5K
28% of jobs
$53.5K
$109.8K
$142.5K
How much do senior lead analyst jobs pay per year?
What jobs pay 500,000 a year in the US?
What job makes $10,000 a month without a degree?
What are the key skills and qualifications needed to thrive as a Senior Lead Analyst, and why are they important?
What jobs in the US pay 300,000 a year?
What is the difference between Senior Lead Analyst vs Data Scientist?
| Aspect | Senior Lead Analyst | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Business, Finance, or related fields; often certifications like CPA or CFA | Bachelor's or Master's in Computer Science, Statistics, or related fields; often certifications like CAP, TensorFlow Developer |
| Work Environment | Business or finance teams, corporate offices, consulting firms | Tech companies, research labs, data-driven industries |
| Employer & Industry Usage | Financial services, consulting, corporate strategy | Technology, healthcare, e-commerce, finance |
While both roles involve analyzing data, a Senior Lead Analyst focuses on interpreting business data to inform decisions, whereas a Data Scientist develops models and algorithms to extract insights from complex datasets. The Senior Lead Analyst typically works closely with management to implement strategies, while Data Scientists often handle advanced analytics and machine learning tasks.
How does a Senior Lead Analyst typically interact with cross-functional teams, and what skills help facilitate this collaboration?
What is the role of a senior lead analyst?
What does a Senior Lead Analyst do?
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 11 days ago
Job description
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.
Role Overview
The Senior Solutions Architecture Lead is responsible for shaping the long-term technology vision for Wealth Investments and Digital Servicing. This leader drives modernization across investment platforms, enables enterprise-scale GenAI adoption, and ensures Citi delivers seamless, intuitive digital and servicing experiences.
This role requires deep expertise in Wealth Management, investment processes, cloud-native design, digital experiences, and enterprise AI architecture.
Key Responsibilities
Architecture
- 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.
GenAI & Advanced Analytics
- 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.
Investment Platform Architecture
- 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.
Digital & Servicing 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.
Governance & Standards
- 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.
Stakeholder Engagement
- 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.
Risk & Controls
- 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.
- 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.
Preferred Tech Stack Components/Technologies:
Cloud & Infrastructure
- 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
Application Architecture & Engineering
- 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
GenAI, AI/ML & Analytics
- 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 Platforms & Management
- Data Engineering: Spark, Databricks, Kafka Connect
Digital & Servicing Technology
- 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)
Investment & Wealth Platforms
- 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
Security, Compliance & Controls
- 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
Architecture Governance & Tooling
- Enterprise Architecture: TOGAF, ArchiMate, LeanIX
- Review & Compliance: ARB processes (Permit to Design, Build, Deploy)
- Design Tools: Draw.io, Lucidchart, Mermaid, Visio
Job Family Group:
Technology
Job Family:
Architecture
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:
Jun 18, 2026
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.