Data Scientist Lead, Vice President - American Dream

JPMorgan Chase & Co.; Ohio; On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. in the United States is seeking a Lead Data Scientist (VP) for the American Dream Initiative. You will define how we understand customers, measure progress, and prove impact, partnering with Product, Marketing, Research, Finance, Technology, and analytics teams.

You will build foundational customer outcome metrics, develop data-informed personas, stand up automated reporting and OKR frameworks, and establish robust testing and readouts, with strong executive communication.

Qualifications

• Master’s or bachelor’s degree with quantitative focus and several years of data science experience.
• Extensive SQL experience and ability to work with large datasets.
• Proficiency in Python or R for modeling and analysis.
• Strong data visualization and storytelling capabilities for exec audiences.
• Experience leading cross-functional projects and driving business outcomes.
• Proven track record of leading cross-functional projects and delivering actionable insights that drive business outcomes
• Strong communication and storytelling skills, with the ability to influence stakeholders at all levels
• Experience enhancing data collection, processing, and validation procedures
• Ability to organize, prioritize, and manage multiple projects in a fast-paced environment
• Commitment to continuous learning and professional development

Responsibilities

• Lead development of ADI measurement strategies including a financial health indicator.
• Drive cross-firm data discovery and integration for measurement.
• Establish and own metric governance and automated reporting.
• Develop customer personas by integrating qualitative and quantitative data.
• Build a testing and impact measurement framework for ADI experiences.
• Execute analyses using SQL and Python to inform targeting and engagement.
• Communicate clearly to senior stakeholders and mentor team members; ensure work aligns with business goals, compliance requirements, and responsible analytics/model risk practices.

Skills

SQL

Python

R

Visualization

Experiment design

A/B testing

Communication

Leadership

Stakeholder mgmt

Education

Master's degree in a quantitative discipline

Bachelor's degree with 6+ years experience

Tools

Tableau

Power BI

Job description

Job Summary

As a Lead Data Scientist (VP) supporting the American Dream Initiative (ADI), you will lead high-visibility work that defines how the initiative understands customers, measures progress, and proves impact. You will partner with stakeholders across Product, Marketing, Research, Finance, Technology, and other analytics teams to build foundational customer outcome metrics (including a financial health indicator), develop data-informed customer personas that blend qualitative and quantitative insights, stand up automated reporting and OKR/target frameworks, and establish robust testing and readout practices to evaluate customer experiences and programs. This role requires strong technical depth, structured problem solving in ambiguous environments, and clear executive-ready communication.

Job Responsibilities

• Lead development of ADI measurement strategies, including a financial health indicator and supporting customer outcome/engagement metrics that are scalable and decision-ready.
• Drive cross-firm data discovery and integration to enable measurement (identify sources, align definitions, resolve gaps, and coordinate with partner teams).
• Establish and own metric governance and automated reporting (KPI/OKR framework, target-setting support, dashboards/scorecards, and quality controls).
• Develop customer personas and segments by integrating qualitative customer research with quantitative behavioral, product, and engagement data; translate findings into actionable narratives and opportunities.
• Build and operationalize a testing and impact measurement framework for ADI experiences/programs (experiment design, readouts, and recommendations to improve future iterations).
• Execute complex analyses and models using SQL and Python in big-data environments to inform targeting, personalization, and customer engagement strategy.
• Communicate clearly to senior stakeholders and mentor team members; ensure work aligns with business goals, compliance requirements, and responsible analytics/model risk practices.

Required qualifications, capabilities, and skills

• Hold aMaster’sdegree in a quantitative discipline and 3+ years of experience, or aBachelor’sdegree with6+years of experience in a quantitative field such as Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance
• Six years of experience managing and analyzing large-scale data using SQL
• Six years of experience with Python, R, or similar languages for data analysis and modeling
• Six years of experience with data visualization tools such as Tableau or PowerBI
• Demonstrated expertise in experimental design, A/B testing, and statistical analysis
• Proven track record of leading cross-functional projects and delivering actionable insights that drive business outcomes
• Strong communication and storytelling skills, with the ability to influence stakeholders at all levels
• Experience enhancing data collection, processing, and validation procedures
• Ability to organize, prioritize, and manage multiple projects in a fast-paced environment
• Commitment to continuous learning and professional development

Preferred qualifications, capabilities, and skills

• Bring experience in financial services, consumer banking, or related industries
• Think strategically with a data-led approach focused on business goals
• Demonstrate ability to work in a fast-paced, collaborative environment with stakeholders across locations
• Show a proven track record of leading a book of work that delivers actionable insights that drive business outcomes
• Display intellectual curiosity and eagerness to learn new skills
• Thrive as a collaborative team player in a dynamic, innovative environment
• Knowledge of Statistical Modelling and Simulation