Vice President Generative Ai Machine Learning Jobs

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.

Key Responsibilities AI & Data Science Leadership

• 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.

Client Intelligence & Analytics

• 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.

Technology Leadership

• 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.

Forward‑Deployed Engineering & Business Partnership

• 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.

Team Leadership

• 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.

Qualifications Required Experience

• 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.

Technical Skills

AI / Machine Learning

• Machine Learning, Deep Learning, NLP, LLMs, Generative AI
• Predictive Analytics
• Recommendation Systems
• Knowledge Graphs
• Retrieval‑Augmented Generation (RAG)
• Agentic AI Architectures
• Model Evaluation and Governance

Programming & Engineering

• Python
• Java and/or .NET
• SQL
• Spark
• Distributed Data Processing
• REST APIs
• Microservices Architecture

Data & Analytics

• Data Modeling
• Data Warehousing
• Data Integration
• ETL/ELT Frameworks
• Streaming TechnologiesData Governance
• Master Data Management
• Business Intelligence Platforms

DevOps & MLOps

• CI/CD Pipelines
• GitHub
• Kubernetes
• Docker
• Infrastructure as Code
• Model Monitoring
• Feature Stores
• MLOps Frameworks

Domain Expertise

Strong understanding of one or more of:

• Institutional Sales
• Investment Banking
• Corporate Banking
• Treasury & Trade Services
• Investor Services
• Issuer Services
• Prime Finance
• Capital Markets
• Investment Research
• Relationship Management
• Client Coverage Models

Leadership Competencies

• Strategic Thinker
• Technology Visionary
• Business Outcome Focused
• Strong Executive Presence
• Data‑Driven Decision Maker
• Exceptional Communication Skills
• Talent Developer and Coach
• Collaborative Partner Across Business and Technology

Success Measures

Within the first 12–24 months, this leader will:

• Establish Citi's AI roadmap for client intelligence and relationship management platforms.
• Deliver AI‑powered client intelligence and revenue growth capabilities.
• Improve banker and salesperson productivity through intelligent workflow automation.
• Enhance client profitability and coverage effectiveness through predictive analytics.
• Operationalize Generative AI solutions within CRM and client engagement platforms.
• Build a scalable AI engineering and MLOps foundation supporting enterprise growth.

Salary and Benefits

Primary Location Full Time Salary Range: $176,720.00 - $265,080.00. 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.

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests to identify and align the candidate’s skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision‑making. Please refer to any jurisdictional considerations, with specific provisions for your country (where relevant) for further details.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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.