Consumer Banking Data Scientist Director

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
75 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $183k
$120k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $131,965–$234,250.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Consumer Banking Data Scientist Director

As a Consumer Banking Data Scientist Director on the Customer Data & Analytics team, you will lead a high-performing team to deliver end-to-end analytics solutions for the American Dream Initiative. This role involves defining the customer analytics strategy, building performance measurement frameworks including KPI development and executive reporting, and partnering with stakeholders across Product, Marketing, and Research. You will develop data-driven engagement strategies to improve acquisition, deepening, and retention while leveraging advanced capabilities like machine learning, predictive modeling, statistical analysis, segmentation, and experimentation. The role requires proficiency in Python or R and experience with Snowflake or Databricks. You will translate complex analyses into actionable narratives for senior leaders to solve problems related to expanding economic opportunity and financial well-being. Specialized skills include causal inference, generative AI, and responsible AI governance within the financial services domain.

What you'll do

  • Define and drive the customer analytics strategy for the American Dream Initiative.
  • Build and lead a high-performing team to deliver insights across the customer lifecycle.
  • Establish performance measurement frameworks including KPI development and executive reporting.
  • Partner with cross-functional stakeholders to develop data-driven customer engagement strategies.
  • Leverage AI and machine learning capabilities to create innovative solutions for customer outcomes.
  • Translate complex technical analyses into clear narratives and recommendations for senior leadership.
  • Manage the end-to-end delivery of analytics solutions for acquisition, servicing, and retention.

What we're looking for

  • Master’s or PhD degree in a quantitative field.
  • 10+ years of experience in analytics.
  • Proven senior leadership experience managing multidisciplinary analytics teams in a large enterprise environment.
  • Deep expertise in data science, including predictive modeling, statistical analysis, segmentation, and experimentation.
  • Experience delivering AI and machine learning solutions that drive measurable business outcomes.
  • Proficiency in Python and/or R, with experience using modern data platforms like Snowflake or Databricks.
  • Strong stakeholder management skills to influence senior leaders and cross-functional partners.
  • Ability to translate complex analytics into clear narratives for executive-level decision-making.

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