VP, Data Science: Customer Journey & Analytics Leader

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Data Scientist Lead – Vice President to drive Customer Journey and Anomaly Detection strategies for Consumer Banking across the branch channel.

You will oversee end-to-end delivery—from problem framing to implementation and measurement—building end-to-end journey tracking, multi-touch attribution, and cross-LOB recommendations to improve client service. The role combines hands-on analytics with people leadership in a high-impact environment, requiring

Qualifications

  • 6+ years of applied data science experience with production analytics and measurable business outcomes.
  • Prior experience leading or mentoring data scientists; able to manage priorities and develop talent.
  • Strong foundation in statistics and experimentation (A/B testing, causal inference).

Responsibilities

  • Own end-to-end delivery from analysis and test design through implementation and monitoring.
  • Lead the Customer Journey team to map and measure journeys, evolve attribution, and generate cross-LOB recommendations.
  • Develop scalable, data-driven decisioning (attribution, causal modeling, anomaly detection) and drive from proof of concept to production.
  • Partner with business, product, and cross-functional teams to define requirements and ensure adoption in workflows.
  • Build a rigorous experimentation cadence (A/B testing) to quantify impact and recalibrate strategies.

Skills

Applied data science
Leadership
Statistics & experimentation
Customer journey & attribution
Python/SQL
Cross-functional collaboration

Job description

JPMorgan Chase & Co. in Plano, TX seeks a Data Scientist Lead – Vice President to drive Customer Journey and Anomaly Detection strategies for Consumer Banking across the branch channel.

You will oversee end-to-end delivery—from problem framing to implementation and measurement—building end-to-end journey tracking, multi-touch attribution, and cross-LOB recommendations to improve client service. The role combines hands-on analytics with people leadership in a high-impact environment, requiring

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