Liquidity & Account Solutions- Analytics & AI Enablement - Vice President

J.P. Morgan; New York (NY); Vor Ort; USD 150.000 - 190.000; Vollzeit

Zusammenfassung

JPMorgan Chase & Co. is seeking a Vice President in the Liquidity & Account Solutions BI & Analytics team to lead analytics, AI/ML product delivery, and governance across Payments.

You will bridge business, Quantitative Research, and Technology to scale analytics platforms and drive measurable business impact. The role focuses on deposit analytics, liquidity management, balance sheet optimization, and revenue enhancement, requiring strong leadership, stakeholder influence, and a track record of

Qualifikationen

• Experience building/delivering data, analytics, AI or ML products with tech partners.
• Strong product/analytics background with ownership of complex initiatives.
• Ability to translate business requirements into scalable analytical solutions.

Aufgaben

• Lead end-to-end delivery of analytics, AI/ML, and BI solutions from requirements to production.
• Define and execute AI/ML strategy including model lifecycle and Generative AI initiatives.
• Partner with Quantitative Research, Technology, and Product to scale analytics capabilities.
• Drive analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth.
• Establish AI/ML governance frameworks including validation, monitoring, and compliance.

Kenntnisse

Analytics product mgmt

AI/ML governance

Stakeholder management

Cross-functional leadership

Communication

Project management

Ausbildung

Bachelor's degree in quantitative field

Tools

JIRA

Confluence

Microsoft Teams

Jobbeschreibung

Drive the future of analytics and AI within Payments by delivering scalable data products, enabling AI adoption, and transforming complex business challenges into actionable insights that accelerate growth, optimize liquidity, and enhance client outcomes.

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.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. AI and Analytics capabilities across key growth areas