Full-Time

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

Updated on 8/13/2026

Deadline 8/16/26
Citi

Citi

10,001+ employees

Global financial services including banking, investment

Compensation Overview

$176.7k - $265.1k/yr

Jersey City, NJ, USA

Hybrid

Hybrid work arrangement.

Category
Engineering Management (1)
Required Skills
Kubernetes
MLOps
Python
Data Science
Git
Apache Spark
SQL
Machine Learning
Java
CRM
Data Engineering
Infrastructure as Code (IaC)
Docker
.NET
Microservices
REST APIs
Data Modeling
Data Governance
DevOps
Investment Banking

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Requirements
  • At least 8 years of technology experience, including artificial intelligence/machine learning and data science, enterprise application development, data engineering, analytics platforms, and financial services technology.
  • At least 5 years of experience leading engineering and/or data science teams.
  • Demonstrated experience delivering artificial intelligence solutions in production environments.
  • Experience partnering directly with business stakeholders and executive leadership.
  • Proficiency with machine learning, deep learning, natural language processing, large language models, generative artificial intelligence, predictive analytics, recommendation systems, knowledge graphs, retrieval-augmented generation, agentic artificial intelligence architectures, and model evaluation and governance.
  • Proficiency with Python, Java and/or .NET, SQL, Spark, distributed data processing, REST APIs, and microservices architecture.
  • Knowledge of data modeling, data warehousing, data integration, ETL/ELT frameworks, streaming technologies, data governance, master data management, and business intelligence platforms.
  • Knowledge of CI/CD pipelines, GitHub, Kubernetes, Docker, infrastructure as code, model monitoring, feature stores, and MLOps frameworks.
  • Strong understanding of one or more relevant financial services domains, including institutional sales, investment banking, corporate banking, treasury and trade services, investor services, issuer services, prime finance, capital markets, investment research, relationship management, or client coverage models.
Responsibilities
  • Define and execute the strategic roadmap for artificial intelligence, machine learning, generative artificial intelligence, and advanced analytics across 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, and opportunity identification.
  • Implement generative artificial intelligence and agentic artificial intelligence solutions to improve banker, salesperson, relationship manager, and research analyst productivity.
  • Design and deliver client intelligence solutions using CRM interaction data, call reports, client feedback surveys, research consumption data, market and pricing data, transaction and revenue data, and external and alternative data sources.
  • Develop business intelligence capabilities providing a comprehensive view of client relationships, engagement patterns, and growth opportunities.
  • Build recommendation engines and knowledge discovery capabilities that surface actionable insights to front-office teams.
  • Lead end-to-end delivery of artificial-intelligence-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, and API and microservices architectures.
  • Ensure solutions meet standards for security, compliance, model governance, resilience, and operational excellence.
  • Serve as a strategic technology advisor to business stakeholders.
  • Collaborate 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 artificial intelligence capabilities aligned with strategic business priorities.
  • Lead, mentor, and develop a team of approximately six engineers and data scientists.
  • Build organizational AI capabilities and promote adoption of emerging technologies across the business.
Desired Qualifications
  • Strategic thinking, technology vision, business-outcome focus, executive presence, data-driven decision-making, communication, talent development and coaching, and collaboration across business and technology.

Citi provides financial services including consumer banking, credit, investment banking, and wealth management to individuals, corporations, and governments. The company operates by earning interest on loans and collecting fees for managing investments, processing trades, and facilitating cross-border transactions through its digital platforms. Unlike many local banks, Citi maintains a physical and digital presence in over 160 countries, allowing it to serve as a single partner for clients with global financial needs. Its goal is to drive growth and profitability for its clients and shareholders while supporting environmental and social sustainability initiatives.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1812

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Simplify Jobs

Simplify's Take

What believers are saying

  • Citi reported $24.8 billion revenue and $5.8 billion profit in Q2 2026.
  • Q2 2026 RoTCE reached 13.0%, above management's 2026 target range.
  • Regulators eased pressure in 2026, and Citi hired FinCEN chief Andrea Gacki.

What critics are saying

  • Citi plans 20,000 layoffs by December 2026, crushing morale and institutional knowledge.
  • Fed and OCC consent orders remain active after 2020, keeping management distracted.
  • Banamex separation and 2026 approvals expose Citi to execution slippage and Mexico political backlash.

What makes Citi unique

  • Citi's 160-country network still anchors cross-border payments, treasury, and institutional banking.
  • Banamex's 2026 sell-down simplifies Citi into a cleaner, higher-return global bank.
  • Jane Fraser's restructuring has already centralized risk, compliance, and technology under one platform.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Wellness Program

Paid Vacation

Paid Sick Leave

Paid Holidays

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