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Senior Vice President - Data Science and Artificial Intelligence Group Manager - Hybrid at Citibank, N.A. Kenya · Katori

Asks for

The ad says“Knowledge of Deep Learning, Machine Learning, regression, decision trees, A/B testing, and business statistics”
The ad says“Knowledge of Generative AI, Retrieval-Augmented Generation (RAGs), Agentic AI, and Large Language Models (LLMs)”
The ad says“Knowledge of Model Risk Management frameworks, model accuracy metrics, ECOA, banking regulations, and Fair Lending rules; working knowledge of SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, and ECOA in the context of AI/ML model deployment within a regulated financial institution”
The ad says“Expertise in data engineering and big data platforms”
The ad says“Familiarity with SDLC, version control (Bitbucket/GitHub), and JIRA”
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The ad says“Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution”
The ad says“Expertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategy”
The ad says“Strong background in credit risk, marketing analytics, or existing customer management”
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The ad says“Experience with Generative AI and Large Language Models (LLMs) in applied business contexts”
The ad says“Knowledge of Deep Learning, Machine Learning, regression, decision trees, A/B testing, and business statistics”
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Data Science and Artificial Intelligence Group Manager (Senior Vice President)

About the Role

We are looking for a seasoned, technically deep, and strategically minded leader to drive one of the most impactful analytics functions within our US Consumer Cards business. This role sits at the intersection of advanced data science, model governance, financial intelligence, and Generative AI — with end-to-end accountability across high-visibility initiatives that shape business strategy, regulatory standing, and customer outcomes at scale.

You will lead a high-performing, multi-geography team, influence senior stakeholders across Marketing, Finance, Risk, Legal, and Technology, and deliver outcomes spanning revenue growth, expense savings, compliance transformation, and enterprise AI innovation.

What You'll Own

1. Existing Customer Analytics & Campaign Modeling Lead end-to-end modeling for existing customer strategies powering large-scale direct mail and digital campaigns — core growth levers embedded in the operating plan that translate analytical rigor into measurable business performance.

2. Model Risk & Regulatory Compliance Own a firm-wide model risk remediation program covering a large portfolio of models. A board- and regulator-facing priority requiring continuous senior ownership, credit bureau attribute remediation, and full regulatory compliance.

3. Financial Forecasting & Reserve Modeling Develop next-generation financial models feeding directly into multi-year strategic plans and mid-year forecasts. Your work will reduce reserve volatility, sharpen financial controls accuracy, and inform CFO-level planning decisions.

4. Generative AI Innovation Lead the development of a GenAI-powered customer communication model, positioning the team at the forefront of the firm's enterprise AI transformation agenda.

Responsibilities

Analytics & Model Leadership

Lead and direct distributed teams of data scientists and analytics professionals across geographies — covering performance management, hiring, development, and budget oversight
Own the design, development, and governance of predictive models and ML solutions that inform business strategy and financial planning
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 to drive strategic decisions
Serve as Model Sponsor Delegate — accountable for formal model governance, sign-off, and oversight across a large model portfolio

AI Innovation & Solution Development

Drive AI-led analytics solutions for key business problems — including Personalized Next Best Action decisioning engines, Campaign Analytics Platforms, and Conversational & Contextual Business Insights. Own the full AI solution lifecycle from concept to production
Partner with stakeholders across business and technology functions to architect, prototype, and deploy scalable AI solutions that deliver measurable business impact
Collaborate directly with business and technology teams to jointly develop high-impact AI solutions, combining technical expertise with business acumen to address complex, cross-functional challenges
Conceptualize AI-powered automation and tools that accelerate internal analytics workflows and drive productivity — creating innovative solutions that streamline processes and enhance analytical capabilities across the organization
Lead the evolution of AI-enhanced modeling techniques to accelerate development cycles and improve analytical precision

AI Governance & Controls

Operationalize AI governance standards ensuring model explainability, responsible deployment, regulatory compliance, and full adherence to Model Risk Management guidelines
Ensure teams partner with and follow control processes across Information Security, Platform Security, and Data Security while executing on next-generation re-engineering of business, data, and AI processes
Engage and influence multiple Managing Director–level stakeholders across Marketing, Finance, Technology, Model Risk Management, Fair Lending, and Legal
Ensure all analytical work adheres to applicable laws, regulations, fair lending obligations, and internal policy; proactively escalate and manage risk with full transparency

Strategy, Partnerships & Team Building

Work in partnership with business stakeholders and Analytics teams to identify, prioritize, and deliver high-impact AI solutions — building trusted partnerships that enable rapid alignment, efficient resource deployment, and direct impact on critical business needs
Establish and lead a specialized team equipped to deliver enterprise-grade AI solutions; recruit top talent, foster a culture of innovation and experimentation, and drive non-linear outcomes
Deliver value beyond arbitrage by establishing productivity and innovation measurement frameworks that track outcomes across business deliverables and team performance — aligned with senior leadership priorities

Qualifications

Experience & Expertise

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

Technical Skills

Advanced AI/ML proficiency — Generative AI, supervised/unsupervised learning, optimization, and time-series forecasting
Expertise in data engineering and big data platforms
Proficiency in Python, SQL, and data visualization tools
Familiarity with SDLC, version control (Bitbucket/GitHub), and JIRA
Knowledge of Deep Learning, Machine Learning, regression, decision trees, A/B testing, and business statistics
Knowledge of big data, distributed computing, Python, Spark, SQL, Excel, and MLOps
Knowledge of Generative AI, Retrieval-Augmented Generation (RAGs), Agentic AI, and Large Language Models (LLMs)
Knowledge of Model Risk Management frameworks, model accuracy metrics, ECOA, banking regulations, and Fair Lending rules; working knowledge of SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, and ECOA in the context of AI/ML model deployment within a regulated financial institution

Leadership & Communication

Proven ability to lead and inspire distributed, cross-functional teams
Exceptional stakeholder management — able to engage, influence, and negotiate at the Managing Director level
Strong project management across complex, multi-workstream programs with regulatory and executive timelines
Ability to translate technical complexity into clear, compelling narratives for senior business audiences
Analytically creative problem-solver who thrives in ambiguous, high-stakes environments
Strong storyboarding, PowerPoint, and executive deck creation skills — able to distill complex analytical insights into crisp, board-ready presentations

Education

Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or Economics) required
Master's degree or Ph.D. strongly preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Primary Location:

New York New York United States

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Primary Location Full Time Salary Range:

$192,000.00 - $288,000.00

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. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Aug 05, 2026

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) 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.

Illinois residents – AI Notice and Right

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