Head of AI​/ML Solutions & Client Intelligence, Senior Vice President

Senior Vice President (SVP) – Head of AI/ML Solutions & Client Intelligence

Citi is seeking an experienced and visionary technology leader to lead the development and delivery of next-generation Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics solutions supporting Institutional Sales, Investment Banking, Corporate Banking, Treasury & Trade Solutions, Investor Services, Issuer Services, Prime Finance, and Investment Research.

This leader will drive the AI strategy and execution for Citi's Customer Relationship Management (CRM), Revenue Analytics, Client Profitability, Client Intelligence, and Relationship Management platforms. The role combines AI/ML leadership, data science, software engineering, business partnership, and people management to deliver measurable business outcomes that enhance client engagement, revenue growth, productivity, and profitability.

The successful candidate will lead a team of engineers and data scientists while partnering closely with Sales, Banking, Relationship Managers, Research Analysts, Product Managers, and Technology leaders across the organization.

• Define and execute the strategic roadmap for AI, Machine Learning, Generative AI, and advanced analytics capabilities across Citi's client and revenue management platforms.
• Build intelligent solutions that improve client acquisition, retention, wallet-share growth, cross‑selling opportunities, and relationship effectiveness.
• Develop predictive models for:
  • Client revenue forecasting
  • Client profitability optimization
  • Client churn and retention analysis
  • Coverage optimization
  • Relationship intelligence
  • Next‑best‑action recommendations
  • Opportunity identification
• Implement Generative AI and Agentic AI solutions to enhance banker, salesperson, relationship manager, and research analyst productivity.

• Design and deliver advanced client intelligence solutions that leverage:
  • CRM interaction data
  • Call reports
  • Client feedback surveys
  • Research consumption data
  • Market and pricing data
  • Transaction and revenue data
  • External and alternative data sources
• Develop business intelligence capabilities that provide a comprehensive view of client relationships, engagement patterns, and growth opportunities.
• Build advanced recommendation engines and knowledge discovery capabilities that surface actionable insights to front‑office teams.

• Lead end‑to‑end delivery of AI‑powered applications from ideation through production.
• Establish scalable AI/ML platforms, MLOps practices, and model governance frameworks.
• Drive architecture decisions across:
  • Data engineering
  • Data integration
  • Machine learning platforms
  • Cloud and distributed computing
  • Real‑time analytics
  • API and microservices architectures
• Ensure solutions meet Citi's standards for security, compliance, model governance, resilience, and operational excellence.

• Function as a strategic technology advisor to business stakeholders.
• Collaborate directly with senior leaders across Sales, Banking, Research, Treasury, Investor Services, Issuer Services, and Prime Finance.
• Translate business challenges into data‑driven solutions and measurable outcomes.
• Drive rapid experimentation and deployment of AI capabilities aligned with strategic business priorities.

• Lead, mentor, and develop a high‑performing team of approximately 6 engineers and data scientists.
• Foster a culture of innovation, accountability, continuous learning, and engineering excellence.
• Build organizational AI capabilities and promote adoption of emerging technologies across the business.

• 8+ years of technology experience, including:
  • AI/ML and Data Science
  • Enterprise Application Development
  • Data Engineering
  • Analytics Platforms
  • Financial Services Technology
• 5+ years leading engineering and/or data science teams.
• Demonstrated experience delivering AI solutions in production environments.
• Experience partnering directly with business stakeholders and executive leadership.

AI / Machine Learning

• Machine Learning, Deep Learning, NLP, LLMs, Generative AI
• Pr…