Senior Vice President - Data Science and Artificial Intelligence Group Manager

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

+1 more

Director/Executive

$192K/yr - $288K/yr

Banking

Finance

Financial Services

Responsibilities

• **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
• **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

Preferred

• Master's degree or Ph.D

Benefits

• For eligible employees, discretionary and formulaic incentive and retention awards
• 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
• Hybrid work arrangement
• Glassdoor
• 3.6
• Global bank providing financial services.
• New York, New York, USA
• https://www.citi.com
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Management and Executive
• Engineering and Development
• Accounting and Finance
• Customer Service and Support
• Product Management
• Legal and Compliance
• Sales
• Human Resources
• Marketing
• Public Sector and Government
• Creatives and Design
• Trends of Total Sponsorships
• *2026
• (1109)
• 2025
• (1386)

Qualifications

• 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
• 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
• SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, ECOA — in the context of AI/ML deployment within a regulated institution
• 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
• Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or Economics) required
• Master's degree or Ph.D

Required skills

• Agentic AI, Executive Communication, Fair Lending, Financial Services Data Science, Generative AI, LLM Fine-Tuning, Large Language Models (LLMs), MLOps/LLMOps, Mathematical Optimization and Decision Science, Model Governance, Model Risk Management, Natural Language Processing (NLP), Prompt Engineering, Python, Regulatory Compliance, Retrieval-Augmented Generation (RAG), SQL, Spark, Stakeholder Management, Supervised and Unsupervised Learning

Preferred skills

• Master's degree or Ph.D

Experience

• 10+ years