Business Data Analyst

Vice President, Data Science And Analytics, Wholesale Lending ServicesJoin a team where your insights directly shape business performance and decision-making. You will partner with senior leaders to define the analytics agenda and deliver actionable insights. In this role, you will improve data quality, drive efficiency, and support risk management using advanced analytics and emerging technologies.As a Vice President, Data Science and Analytics, in Wholesale Lending Services, you serve as a senior analytics liaison and strategic partner to leadership. You own delivery of trusted metrics, data quality, and insight generation across the portfolio. You work closely with partners in finance, business management, and data teams to ensure data is accurate and translated into decision-ready insights. Your work supports lending performance, risk management, and operational efficiency while promoting responsible use of advanced analytics and artificial intelligence tools.Job ResponsibilitiesServe as a senior analytics advisor to business and finance leadership, shaping the insights agenda and ensuring high-quality deliverablesOwn partnerships between data management and business stakeholders, aligning priorities and accelerating resolution of data issuesLead proactive data health programs, including control checks, root-cause analysis, and remediation planningDefine, standardize, and govern portfolio metrics to ensure consistency, control, and audit readinessTranslate performance, risk, and operational data into clear, decision-ready insights with recommended actionsLead analytical work end-to-end, from problem definition through execution and implementationDevelop executive-level materials that clearly communicate analytical findings, data quality, and risk implicationsDrive automation and self-service capabilities to improve efficiency, control, and adoptionApply advanced analytics to business use cases, partnering with technical teams to develop scalable solutionsEstablish responsible use of artificial intelligence tools, including validation, explainability, and governance practicesEvaluate analytical outputs to ensure accuracy, clarity, and readiness for senior stakeholdersRequired Qualifications, Capabilities, and Skills7 years of experience in data science, analytics, or data-driven strategy in a complex or regulated environmentProven ability to drive analytics and data integrity outcomes across cross-functional teamsStrong data analysis skills, including metric design, statistical analysis, and data quality assessmentExperience defining and governing business-critical metrics with appropriate controls and documentationHands-on experience leading data quality initiatives and remediation effortsStrong business acumen with the ability to connect analytics to performance, risk, and operational decisionsExecutive communication skills with the ability to deliver clear, concise insights and recommendationsStrong analytical judgment with a focus on accuracy and quality of outputsExperience applying artificial intelligence tools with appropriate validation and oversightProficiency in data visualization and presentation toolsPreferred Qualifications, Capabilities, and SkillsExperience with programming languages such as Python or SQL to develop analytics solutionsFamiliarity with responsible artificial intelligence principles in a controlled environmentKnowledge of data governance frameworks, including metric governance and data lineageExperience in financial services, lending, or portfolio and risk-related environmentsExperience working in finance or business management functionsExperience acting as a liaison between technical data teams and business stakeholders**To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).**