Data Science Vice President Branch Analytics

Data Scientist Lead – Vice President The Data & Analytics team is the engine that powers JPMorganChase with insights to create competitive advantages for our business and deliver value for our customers. We have unified data and analytics talent across the firm and encompass a variety of disciplines including data science, reporting, quantitative analytics, and data governance. Within this organization, the Decision Sciences team leverages industry-leading data-driven techniques to convert data into meaningful insights that enable the firm to drive value and an outstanding customer experience. The Branch Channel Analytics team provides expertise in data science and analytics to improve productivity and optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes, and analytics to convert data into meaningful insights that enable Consumer Bank's leadership to drive value and an excellent customer experience for their business programs. We are seeking a Data Scientist Lead – Vice President to join Branch Channel Analytics and lead our Customer Journey and Anomaly Detection strategy across Consumer Banking and cross-Line of Business (LOB) experiences within the branch channel. You will build and continuously improve how we track, understand, and optimize end-to-end customer journeys—delivering an end-to-end credit card customer journey proof of concept, launching a multi-touch attribution framework, and evolving cross-LOB recommendations that optimize how clients are served through the branch channel. You will manage a team of four, partner closely with business and product stakeholders, and own delivery end-to-end—from problem framing and implementation through measurement and ongoing refinement. This role is ideal for a hands-on technical leader who can balance strategy, execution, stakeholder management, and people leadership in a high-impact environment. The ideal candidate believes in the power of analytics to move a business forward and is energized by the opportunity to continue driving the customer journey strategy forward through data and disciplined measurement. They enjoy digging into data with rigor and business context, and they communicate insights as clear, actionable recommendations for senior stakeholders. They bring a meticulous eye for detail and the leadership presence to align partners, make tradeoffs, and drive decisions. Job Responsibilities In this role, you will own end-to-end delivery from analysis and test design through implementation and performance monitoring. Lead the Customer Journey team to build and refine approaches to: map and measure end-to-end customer journeys, evolve multi-touch attribution across touchpoints, and generate cross-LOB recommendations to optimize how clients are served through the branch channel. Develop scalable, data-driven decisioning (attribution, causal modeling, anomaly detection, and simulation approaches as appropriate) and drive delivery from proof of concept to production readiness. Partner with business, product, and cross-functional teams to define requirements, align on tradeoffs and success metrics, and ensure solutions are adopted in workflows. Build a rigorous experimentation and measurement cadence (A/B testing/holdouts) to quantify impact, calculate value, and recalibrate strategies over time. Required Qualifications, Capabilities, and Skills 6+ years of applied data science experience, including ownership of production analytics/models and measurable business outcomes. Prior experience leading or mentoring data scientists (formal or informal leadership); ability to manage priorities and develop talent. Strong foundation in statistics and experimentation (A/B testing design, power, bias/variance, causal inference basics). Experience building customer journeys and attribution models and translating them into decision rules and journey strategies. Proficiency in Python (and/or R) and SQL Proven ability to work cross-functionally with product, data, and business partners and drive ambiguity to execution. Preferred Qualifications, Capabilities, and Skills Experience with customer journey analytics, multi-touch attribution, causal inference, or recommender/ranking systems Familiarity with constraints-aware decisioning (capacity, fairness, coverage, service levels) and optimization concepts Experience with real-time or near-real-time decisioning systems and measurement in operational environments Strong executive communication skills and experience presenting results and recommendations to senior stakeholders 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. Chase