Senior Vice President – Data Science and Artificial Intelligence Group Manager

Citi

Citi AI leader governing GenAI models and delivering production banking automation. Leading multi-geography teams across model risk, compliance, and enterprise AI capabilities.

Posted 9/4/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $192,000 - $288,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Generative AI, LLMs, and AI/ML model governance within financial services, with a strong focus on delivering enterprise-grade AI solutions and managing complex, multi-workstream initiatives. Proven ability to lead diverse teams and engage stakeholders effectively while ensuring compliance and regulatory adherence.

Highest-signal resume keywords

Generative AI ExpertiseModel Risk ManagementAI/ML Model Portfolio ManagementStakeholder ManagementProgram Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AILLMsModel Risk ManagementNLPSupervised LearningUnsupervised LearningMathematical OptimizationPythonSQLAdversarial Testing

Soft Skills

Stakeholder ManagementExecutive CommunicationTeam LeadershipProgram ManagementNarrative Translation

Tools & Technologies

MLOpsCloud-Native AI PlatformsBig DataSparkJIRADevOpsVersion ControlBitbucketGitHub

Industry Keywords

Financial ServicesRegulatory ComplianceFair LendingCredit Card EconomicsCustomer ManagementModel GovernanceSR 11-7SR 26-2OCC AI GuidanceCFPB

Tech Stack

Tools & technologies

CloudPythonSDLCSparkSQL

About the role

Key responsibilities & impact

Own Partner AI Development & Delivery and GenAI Model Governance
Lead a multi-geography team and engage MD-level stakeholders across Operations, Marketing, Products, Technology, Model Risk, Fair Lending, and Legal
Deliver outcomes across expense reduction, revenue growth, customer experience improvement, compliance transformation, and enterprise GenAI capability buildout
Partner with business units and Technology to deliver GenAI-powered automation across front, mid, and back office banking operations, including call center IVR, Agent Assist, and Collections
Support enterprise-wide foundational GenAI capabilities including LLM fine-tuning and semantic layer development
Own the full AI solution lifecycle from concept to production for Personalized Next Best Action decisioning, Campaign Analytics, and Conversational & Contextual Business Insights
Conceptualize AI-powered tools that accelerate analytics workflows and drive productivity
Lead the evolution of AI-enhanced modeling techniques to improve development speed and precision
Manage a large GenAI model portfolio across tuning, upgrades, and maintenance
Serve as Model Sponsor Delegate with accountability for model ownership, sign-off, and governance under Model Risk Policy
Build firm-wide GenAI infrastructure including adversarial testing, regulatory testing, guardrails, near real-time monitoring, and AI governance policy co-development
Establish frameworks tracking outcomes across business deliverables and team performance
Recruit top talent and lead a specialized team delivering enterprise-grade AI
Execute with Central AI and business units to redesign processes and deliver measurable change
Identify, prioritize, and resource high-impact AI solutions with business stakeholders and analytics leadership
Ensure control processes across Information Security, Platform Security, and Data Security

Requirements

What you’ll need

10+ years in AI/ML, data science, or quantitative analytics within financial services
Proven expertise in Generative AI, LLMs, and applied GenAI product development in production environments
Track record in model risk management, regulatory remediation, and formal model governance
Experience managing large-scale AI/ML model portfolios including lifecycle, tuning, and upgrades
Deep data domain knowledge across core banking functions, including marketing, customer management, call center operations, collections, complaints, and financial controls
Strong understanding of credit card economics, customer behavior, and product strategy at the intersection of data and finance
Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution
Generative AI, LLMs, RAG, Agentic AI, prompt engineering, LLM fine-tuning, NLP, supervised/unsupervised learning, Mathematical Optimization & Decision Science
MLOps/LLMOps, cloud-native AI platforms, big data, distributed computing, Spark, Python, SQL
Adversarial testing, guardrails, regulatory testing frameworks, near real-time model monitoring
SDLC, version control (Bitbucket/GitHub), JIRA, DevOps
Knowledge of SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, and ECOA in regulated AI/ML deployment
Proven ability to lead distributed, multi-geography teams in a global, matrixed organization
Exceptional stakeholder management at the MD level
Strong program management across complex, multi-workstream initiatives with regulatory and executive timelines
Ability to translate technical complexity into clear narratives for senior audiences
Board-ready executive communication and presentation skills
Bachelor's degree in a quantitative discipline required
Master's degree or Ph.D. strongly preferred

Benefits

Comp & perks

Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Planned time off (vacation)
Unplanned time off (sick leave)
Paid holidays