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Join JPMorganChase's Consumer Banking Customer Data & Analytics team as a Data Scientist Director supporting the American Dream Initiative, a firmwide, multi-year effort to expand economic opportunity in communities across the United States. This is an exciting opportunity to help shape a high-profile strategic initiative by developing advanced analytics that drive customer engagement, inform strategic decision-making, and measure progress toward expanding economic opportunity and financial well-being across the country. This is a senior leadership role that requires technical expertise, strategic vision, and executive-level influence to translate complex data into clear actionable decisions.
As a Data Scientist Director at JPMorganChase within the Consumer Banking Customer Data & Analytics team, you will build and lead a high-performing team responsible for the end-to-end delivery of analytics solutions that support customer acquisition, engagement, servicing, and retention in support of the American Dream Initiative. You will define the analytics strategy, develop a high-performing team, and partner closely with stakeholders across the firm to transform data-driven insights into measurable business and community outcomes.
Job responsibilities

• Define and drive the customer analytics strategy for the American Dream Initiative, aligning measurement and prioritization to core goals.
• Build and lead a team to deliver high-impact insights across the customer lifecycle, performance, and program effectiveness.
• Establish and oversee a performance measurement framework, including KPI development, executive reporting, experimentation, and impact assessment, to drive data-informed decision-making and program optimization.
• Partner with Product, Marketing, Research, and business stakeholders to develop data-driven customer engagement strategies that improve acquisition, deepening, and retention.
• Leverage emerging AI, machine learning, and analytics capabilities to develop innovative solutions that enhance customer outcomes and advance the initiative's goals.
• Translate complex analyses into clear narratives and recommendations for senior leaders, balancing strategic ambition with operational feasibility, risk discipline, and measurable outcomes.

Required qualifications, capabilities, and skills

• Master's or PhD in a quantitative field and 10+ years of analytics experience.
• Proven senior leadership experience managing and developing multidisciplinary analytics teams in a large enterprise environment.
• Deep expertise in data science and analytics, including hands-on experience with predictive modeling, statistical analysis, segmentation, and experimentation.
• Demonstrated ability to deliver AI, machine learning, and analytics solutions that drive measurable business outcomes, ideally within financial services or consumer products.
• Strong business acumen, with the ability to frame analytical problems in terms of business strategy and translate insights into executive-level recommendations.
• Experience leading analytics across multiple concurrent business domains, balancing near-term delivery with longer-term capability building.
• Exceptional stakeholder management and communication skills, with a track record of influencing senior leaders and cross-functional partners.
• Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks.
• Strong project and program management skills, including the ability to define success metrics, manage risks, and drive execution across complex initiatives.

Preferred qualifications, capabilities, and skills

• Consumer banking/financial services analytics across customer lifecycle, channels, marketing effectiveness, and servicing strategy
• Interest/experience in economic opportunity, community development, financial health, or social impact-using data to drive measurable outcomes
• Building KPI frameworks and multi-channel attribution for initiatives balancing growth and customer impact objectives
• Hands-on generative AI experience (LLMs, retrieval-augmented generation, agentic AI frameworks)
• Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
• Responsible AI knowledge: model governance and regulatory considerations in financial services
• Driving analytics adoption via change management, self-service tooling, organizational enablement; familiarity with Agile/product practices

About Us
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.
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.
Equal Opportunity Employer/Disability/Veterans
About the Team
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.