WLS - Data & Reporting Business Manager - Vice President

JPMorgan Chase & Co.•Newark, DE

About The Position

Join 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.

Requirements

7 years of experience in data science, analytics, or data-driven strategy in a complex or regulated environment
Proven ability to drive analytics and data integrity outcomes across cross-functional teams
Strong data analysis skills, including metric design, statistical analysis, and data quality assessment
Experience defining and governing business-critical metrics with appropriate controls and documentation
Hands-on experience leading data quality initiatives and remediation efforts
Strong business acumen with the ability to connect analytics to performance, risk, and operational decisions
Executive communication skills with the ability to deliver clear, concise insights and recommendations
Strong analytical judgment with a focus on accuracy and quality of outputs
Experience applying artificial intelligence tools with appropriate validation and oversight
Proficiency in data visualization and presentation tools

Nice To Haves

Experience with programming languages such as Python or SQL to develop analytics solutions
Familiarity with responsible artificial intelligence principles in a controlled environment
Knowledge of data governance frameworks, including metric governance and data lineage
Experience in financial services, lending, or portfolio and risk-related environments
Experience working in finance or business management functions
Experience acting as a liaison between technical data teams and business stakeholders

Responsibilities

Serve as a senior analytics advisor to business and finance leadership, shaping the insights agenda and ensuring high-quality deliverables
Own partnerships between data management and business stakeholders, aligning priorities and accelerating resolution of data issues
Lead proactive data health programs, including control checks, root-cause analysis, and remediation planning
Define, standardize, and govern portfolio metrics to ensure consistency, control, and audit readiness
Translate performance, risk, and operational data into clear, decision-ready insights with recommended actions
Lead analytical work end-to-end, from problem definition through execution and implementation
Develop executive-level materials that clearly communicate analytical findings, data quality, and risk implications
Drive automation and self-service capabilities to improve efficiency, control, and adoption
Apply advanced analytics to business use cases, partnering with technical teams to develop scalable solutions
Establish responsible use of artificial intelligence tools, including validation, explainability, and governance practices
Evaluate analytical outputs to ensure accuracy, clarity, and readiness for senior stakeholders