Senior Vice President - Data Science and Artificial Intelligence Group Manager - Hybrid (New York)

Job ID: 98434715040Posted: 2026-07-29Location: New York, New York, United StatesSalary: $192,000.00 - $288,000.00Category: Decision Management, Data Science, ProfessionalCompany: CitiData Science and Artificial Intelligence Group Manager (Senior Vice President)About the RoleWe 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 Own1. 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.ResponsibilitiesAnalytics & Model LeadershipLead and direct distributed teams of data scientists and analytics professionals across geographies — covering performance management, hiring, development, and budget oversightOwn the design, development, and governance of predictive models and ML solutions that inform business strategy and financial planningDrive model risk remediation, including resolution of regulatory findings, credit bureau attribute gaps, and model redevelopment in compliance with Model Risk PolicyDevelop advanced financial forecasting models with vintage-level granularity to support accurate multi-year product-level planningBuild and enhance reserve models that improve financial controls accuracy and reduce volatilityLeverage large, complex internal and external datasets using advanced statistical techniques, ML algorithms, and visualization tools to drive strategic decisionsServe as Model Sponsor Delegate — accountable for formal model governance, sign-off, and oversight across a large model portfolioAI Innovation & Solution DevelopmentDrive 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 productionPartner with stakeholders across business and technology functions to architect, prototype, and deploy scalable AI solutions that deliver measurable business impactCollaborate directly with business and technology teams to jointly develop high-impact AI solutions, combining technical expertise with business acumen to address complex, cross-functional challengesConceptualize 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 organizationLead the evolution of AI-enhanced modeling techniques to accelerate development cycles and improve analytical precisionAI Governance & ControlsOperationalize AI governance standards ensuring model explainability, responsible deployment, regulatory compliance, and full adherence to Model Risk Management guidelinesEnsure 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 processesEngage and influence multiple Managing Director–level stakeholders across Marketing, Finance, Technology, Model Risk Management, Fair Lending, and LegalEnsure all analytical work adheres to applicable laws, regulations, fair lending obligations, and internal policy; proactively escalate and manage risk with full transparencyStrategy, Partnerships & Team BuildingWork 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 needsEstablish 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 outcomesDeliver value beyond arbitrage by establishing productivity and innovation measurement frameworks that track outcomes across business deliverables and team performance — aligned with senior leadership prioritiesQualificationsExperience & Expertise10+ years in data science, quantitative analytics, or financial modeling within financial servicesExpertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategyProven track record in model risk management, regulatory remediation, or formal model governanceDeep experience in financial forecasting, reserve modeling, or FP&A-aligned analyticsExperience with Generative AI and Large Language Models (LLMs) in applied business contextsStrong background in credit risk, marketing analytics, or existing customer managementExperience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institutionTechnical SkillsAdvanced AI/ML proficiency — Generative AI, supervised/unsupervised learning, optimization, and time-series forecastingExpertise in data engineering and big data platformsProficiency in Python, SQL, and data visualization toolsFamiliarity with SDLC, version control (Bitbucket/GitHub), and JIRAKnowledge of Deep Learning, Machine Learning, regression, decision trees, A/B testing, and business statisticsKnowledge of big data, distributed computing, Python, Spark, SQL, Excel, and MLOpsKnowledge 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 institutionLeadership & CommunicationProven ability to lead and inspire distributed, cross-functional teamsExceptional stakeholder management — able to engage, influence, and negotiate at the Managing Director levelStrong project management across complex, multi-workstream programs with regulatory and executive timelinesAbility to translate technical complexity into clear, compelling narratives for senior business audiencesAnalytically creative problem-solver who thrives in ambiguous, high-stakes environmentsStrong storyboarding, PowerPoint, and executive deck creation skills — able to distill complex analytical insights into crisp, board-ready presentationsEducationBachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or Economics) requiredMaster's degree or Ph.D. strongly preferredThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.------------------------------------------------------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 - $288,000.00In 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.------------------------------------------------------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 AIWe 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, i