Senior Vice President – Data Science and Artificial Intelligence Group Manager

Citi

Senior Vice President leading data science and artificial intelligence initiatives in consumer financial services. Overseeing analytics functions to enhance business strategy and client outcomes.

Posted 7/28/2026full-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 financial modeling, model risk management, and advanced analytics, with a strong focus on Generative AI and compliance within the financial services sector. Proven ability to lead complex modeling initiatives and drive strategic insights from large datasets.

Highest-signal resume keywords

Financial ModelingModel Risk ManagementGenerative AIAdvanced AnalyticsRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Financial ForecastingReserve ModelingQuantitative AnalyticsStatistical TechniquesMachine Learning AlgorithmsData ScienceCustomer Behavior ModelingModel GovernanceCredit Risk AnalysisMarketing Analytics

Tools & Technologies

Visualization ToolsAI SolutionsLarge Language Models

Industry Keywords

Financial ServicesModel Risk PolicyFair LendingComplianceCredit Card Rewards Economics

About the role

Key responsibilities & impact

Lead end-to-end modeling for existing customer strategies powering large-scale direct mail and digital campaigns
Own a firm-wide model risk remediation program covering a large portfolio of models
Develop next-generation financial models feeding directly into multi-year strategic plans and mid-year forecasts
Lead the development of a GenAI-powered customer communication model
Drive model risk remediation, including resolution of regulatory findings, credit bureau attribute gaps, and model redevelopment in compliance with Model Risk Policy
Develop advanced financial forecasting models with vintage-level granularity to support accurate multi-year product-level planning
Build and enhance reserve models that improve financial controls accuracy and reduce volatility
Leverage large, complex internal and external datasets using advanced statistical techniques, ML algorithms, and visualization tools
Drive AI-led analytics solutions for key business problems
Own the full AI solution lifecycle from concept to production
Ensure all analytical work adheres to applicable laws, regulations, fair lending obligations, and internal policy

Requirements

What you’ll need

10+ years in data science, quantitative analytics, or financial modeling within financial services
Expertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategy
Proven track record in model risk management, regulatory remediation, or formal model governance
Deep experience in financial forecasting, reserve modeling, or FP&A-aligned analytics
Experience with Generative AI and Large Language Models (LLMs) in applied business contexts
Strong background in credit risk, marketing analytics, or existing customer management
Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution

Benefits

Comp & perks

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays