Data Science Vice President Branch Analytics

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.
Job Summary
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