Data architect with AI strong exp(Banking Domain)

Must have skills - Wealth Management , TOGAF , Capital market , Fixed income, Fraud

Role: (Lead AI & Data Architect / Enterprise AI Architect With heavy banking domain)

Chicago, Illinois United States

Contract

Job Description:

Experience: 15 Years

We are seeking a seasoned AI & Data Architect to lead technology strategy, roadmap planning, and target-state execution across our banking ecosystem.

In this role, you will design enterprise-grade, secure AI and data architectures that drive business transformation across Wealth Management, CRM, nCino, Salesforce FSC, and Customer 360 initiatives.

Responsibilities :Drive technology strategy, architectural roadmaps, and TOGAF-aligned enterprise governance frameworks. Architect scalable Generative AI, multi-agent workflows, RAG, Knowledge Graphs, and Vector Databases. Deliver end-to-end solutions using Azure AI, Azure OpenAI, Copilot, AWS Bedrock, and hybrid cloud. Define target-state data architectures, master data management, and data governance policies. Design robust REST APIs, event-driven architecture, and seamless integrations across legacy and cloud systems.

Oversee full AI/ML lifecycle management, automated CI/CD pipelines, and MLOps/LLMOps deployment. Enforce Zero Trust security, privacy, model risk management, and Responsible AI guardrails.

Apply deep domain knowledge in Wealth, CRM, nCino, Financial Services Cloud (FSC), and Customer 360.

Mandatory Skills: Banking & Wealth: Wealth Management, Financial Services Cloud (FSC), Customer 360 Ecosystems (Advanced)Banking Platforms: Salesforce CRM, nCino Core Banking/Loan Origination (Advanced)Executive Stakeholder Management & C-Suite Communication (Advanced)Technical Leadership & Cross-Functional Team Guidance (Advanced)Business-to-Technology Strategy Translation (Advanced)Preferred Skills: Experience with Generative AI technologies. Knowledge of data governance frameworks. Familiarity with hybrid cloud infrastructure management.

Qualifications :

Bachelor’s degree in computer science, Information Technology, or a related field.15 years of experience in AI and data architecture within the banking sector.

Proven track record of leading technology strategy and execution.