As a Vice President within the Liquidity & Account Solutions (L&AS) Business Intelligence & Analytics team, you will lead the delivery and adoption of advanced analytics, artificial intelligence, and machine learning solutions that support strategic decision-making across the Payments business. Acting as a bridge between business stakeholders, Quantitative Research, and Technology, you will drive the end-to-end development and deployment of scalable analytics products while ensuring strong governance, compliance, and business impact. This role is critical to advancing L&AS's AI and analytics capabilities across key growth areas including deposit analytics, liquidity management, balance sheet optimization, and revenue enhancement.

Job responsibilities

• Lead the end-to-end delivery lifecycle of analytics, AI/ML, and business intelligence solutions, from requirements gathering through production deployment.
• Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives.
• Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities.
• Drive the implementation and adoption of business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth.
• Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements.
• Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide standards.
• Promote self-service analytics capabilities and lead AI literacy and upskilling initiatives across business stakeholders.
• Collaborate with enterprise AI Centers of Excellence to leverage shared platforms, tools, and best practices.
• Influence cross-functional stakeholders to prioritize analytics investments and drive measurable business outcomes.

Required qualifications, capabilities & skills

• Significant experience within financial services, including Payments, Treasury Services, Securities Services, FinTech, or Corporate & Investment Banking environments.
• Proven experience building and delivering data, analytics, AI, or machine learning products in partnership with technology teams and data scientists.
• Strong product management, product development, technology, or analytics background with demonstrated ownership of complex initiatives.
• Ability to translate business requirements into scalable, production-ready analytical solutions.
• Exceptional communication, presentation, and stakeholder management skills, with the ability to influence senior leadership and diverse audiences.
• Demonstrated success leading cross-functional teams and managing multiple priorities in a fast-paced environment.
• Experience utilizing project management and collaboration tools such as JIRA, Confluence, and Microsoft Teams.

Preferred qualifications, capabilities & skills

• Undergraduate degree in a quantitative discipline, including Computer Science, Data Analytics, Economics, Statistics, Engineering, or a related field.
• Working knowledge of AI and machine learning methodologies, including supervised learning, unsupervised learning, predictive modeling, Generative AI, and Large Language Models (LLMs).
• Experience with data visualization, analytics, and reporting tools such as Tableau, Power BI, Qlik, Alteryx, or similar platforms.
• Familiarity with model governance, validation frameworks, and responsible AI practices.
  Strong understanding of enterprise data architecture, analytics enablement, and data-driven operating models.