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.
Skills Required
- Significant experience in financial services, including Payments, Treasury Services, Securities Services, FinTech, or Corporate and Investment Banking
- Experience building and delivering data, analytics, AI, or machine learning products with technology teams and data scientists
- Strong product management, product development, technology, or analytics background with ownership of complex initiatives
- Ability to translate business requirements into scalable, production-ready analytical solutions
- Exceptional communication, presentation, and stakeholder management skills
- Experience leading cross-functional teams and managing multiple priorities
- Experience with JIRA, Confluence, and Microsoft Teams
- Undergraduate degree in Computer Science, Data Analytics, Economics, Statistics, Engineering, or a related quantitative discipline
- Working knowledge of supervised learning, unsupervised learning, predictive modeling, Generative AI, and Large Language Models
- Experience with Tableau, Power BI, Qlik, Alteryx, or similar data visualization and analytics platforms
- Familiarity with model governance, validation frameworks, and responsible AI practices
- Strong understanding of enterprise data architecture, analytics enablement, and data-driven operating models
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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