Senior Vice President - Data Science and Artificial Intelligence Group Manager - Hybrid
- New York, United States
Posted 24 days ago
About the role
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Job Overview
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-
Job Family:
Specialized Analytics (Data Science/Computational Statistics)-
Time Type:
Full time-
Primary Location:
New York New York United States-
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.-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.-
Anticipated Posting Close Date:
Aug 05, 2026-
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.