Data Scientist Lead, Vice President - American Dream

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., * 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.

• Hold a Master’s degree in a quantitative discipline and 3+ years of experience, or a Bachelor’s degree with 6+ 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

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.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs., Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.