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Citi Wealth is a unified wealth organization delivering holistic wealth management solutions to clients across the entire wealth continuum. Serving over 500,000 clients globally, CGW 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 Solutions Architecture Lead to lead architecture strategy across Wealth Investments, AI-enabled platforms, digital servicing, and omnichannel client and advisor experiences.
Job Responsibility:
Lead architecture teams across Wealth Investments, Digital Servicing, and AI/ML platforms
Define multi-year architecture strategy aligned to business priorities
Own portfolio-level roadmaps covering investments, digital journeys, advisor tools, AI copilots, and omni-channel servicing
Architect and scale GenAI capabilities across Wealth
Lead design for platforms supporting portfolio construction, model portfolio management, managed accounts, and discretionary mandates
Own architecture for digital wealth and banking servicing
Establish and enforce architectural standards, design patterns, cloud practices, and AI/ML controls
Partner with senior leadership across Wealth Investments, Digital Servicing, Product, Operations, and Advisor organizations
Manage multiple architecture teams including hiring, performance management, budget planning, and talent development
Ensure compliance with Citi’s risk, cybersecurity, AI governance, data privacy, and model risk management standards
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 ability to influence senior leaders
Strong analytical, prioritization, and decision-making capabilities