Senior Vice President - Data Science and Artificial Intelligence Group Manager - Hybrid

About the Role

We are looking for a technically deep, strategically minded leader to own Partner AI Development & Delivery and GenAI Model Governance. This role sits at the intersection of Generative AI innovation, enterprise model governance, and regulatory compliance — with end-to-end accountability across high-visibility programs that shape business outcomes at scale.

You will lead a multi-geography team, engage MD-level stakeholders across Operations, Marketing, Products, Technology, Model Risk, Fair Lending, and Legal, and deliver across expense reduction, revenue growth, customer experience improvement, compliance transformation, and enterprise GenAI capability buildout.

What You'll Deliver

1. Banking Operations AI Automation 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, Collections, and other operational functions. Combine technical depth with deep banking domain knowledge to address complex, cross-functional challenges at scale.

2. Foundation GenAI Capabilities Support enterprise-wide foundational GenAI capabilities including LLM fine-tuning and semantic layer development — enabling scalable, data-driven decision-making across business functions.

3. GenAI Solution Development Own the full AI solution lifecycle — concept to production — for high-priority business problems including Personalized Next Best Action decisioning, Campaign Analytics, and Conversational & Contextual Business Insights.

4. Analytics Workflow Transformation 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.

5. GenAI Model Portfolio Governance Manage a large GenAI model portfolio across its full lifecycle — tuning, upgrades, and maintenance. Serve as Model Sponsor Delegate, with formal accountability for model ownership, sign-off, and governance under Model Risk Policy.

6. Enterprise GenAI Capabilities Build firm-wide GenAI infrastructure: adversarial testing, regulatory testing, guardrails, near real-time monitoring, and AI governance policy co-development with the second line of defense.

7. Measurable Productivity & Delivery Establish frameworks that track outcomes across business deliverables and team performance — aligned with senior leadership priorities.

How You'll Deliver

Build a High-Performing AI Team Recruit top talent and lead a specialized team delivering enterprise-grade AI. Foster a culture of innovation focused on non-linear outcomes.

Partner with Central AI and Business Teams Execute strategically with the firm's Central AI organization and business units to redesign processes and deliver measurable change.

Align on Priorities Work closely with business stakeholders and analytics leadership to identify, prioritize, and resource high-impact AI solutions — enabling rapid alignment and efficient delivery.

Maintain a Robust Controls Mindset Ensure teams follow control processes across Information Security, Platform Security, and Data Security while executing on next-generation AI re-engineering of business and data processes.

Qualifications

Experience

• 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 — with the ability to connect data signals to business outcomes
• 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

Technical Skills

• GenAI & ML: Generative AI, LLMs, RAG, Agentic AI, prompt engineering, LLM fine-tuning, NLP, supervised/unsupervised learning, Mathematical Optimization & Decision Science
• Infrastructure & Ops: MLOps/LLMOps, cloud-native AI platforms, big data, distributed computing, Spark, Python, SQL
• Governance: Adversarial testing, guardrails, regulatory testing frameworks, near real-time model monitoring
• Tooling: SDLC, version control (Bitbucket/GitHub), JIRA, DevOps
• Regulatory: SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, ECOA — in the context of AI/ML deployment within a regulated institution

Leadership & Communication

• Proven ability to lead distributed, multi-geography teams in a global, matrixed organization
• Exceptional stakeholder management — engage, influence, and negotiate 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

Education

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

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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:

Sep 11, 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.