Full-Time

Data Scientist Executive Director

Card Data & Analytics, Customer & Strategic Analytics

Posted on 5/8/2026

JP Morgan Chase

JP Morgan Chase

10,001+ employees

Global financial services with diversified offerings

Compensation Overview

$204.3k - $285k/yr

New York, NY, USA + 1 more

More locations: Wilmington, DE, USA

In Person

Category
Data & Analytics (1)
Required Skills
Python
Data Science
R
Machine Learning
Databricks
Data Analysis
Snowflake
Requirements
  • Master’s or PhD in a quantitative field and 10+ years of analytics experience
  • Proven senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors, 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
Responsibilities
  • Define and drive the AI strategy for Card Data & Analytics, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
  • Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
  • Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Card business
  • Lead analytics supporting customer experience and benefits, delivering insights that inform customer engagement, product design, portfolio performance, and pricing and targeting strategies
  • Partner with Product, Risk, and Finance stakeholders to define analytical priorities, interpret results, and drive data-informed decisions
  • Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
  • Translate customer data into actionable insights that inform marketing, product, and servicing strategies. Build and lead competitive intelligence analytics capabilities that monitor market trends, competitor positioning, and industry benchmarks within the Card space
  • Partner with external vendors and synthesize internal and external data sources to provide senior leaders a clear view of the competitive landscape
  • Deliver forward-looking analyses that inform strategic planning and product roadmap decisions for the Card business
  • Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, fostering a high-performance, inclusive, growth-oriented culture. Set clear goals and performance expectations, provide ongoing coaching, and support career development across all levels of the team
  • Attract and retain top analytics talent through hiring, onboarding, and skills development programs.
  • Champion a culture of innovation, intellectual rigor, and collaborative problem-solving across the broader Card Data & Analytics organization
Desired Qualifications
  • Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
  • Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks
  • Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
  • Experience with causal inference, A/B testing, and experimentation frameworks at scale
  • Familiarity with responsible AI principles, model governance, and regulatory considerations in financial services
  • Experience enabling analytics adoption through change management, self-service tooling, or organizational enablement
  • Familiarity with Agile delivery methods and modern product practices

A global financial services firm offering investment banking, asset management, private equity, financial services, and consumer banking to individuals and institutions. It works by providing advisory, lending, trading, and financing services through a worldwide network, earning revenue from interest, fees, and trading commissions, and using its data and the JPMorgan Chase Institute to analyze economies. It stands apart from peers due to its size, full-range services across consumer and corporate markets, extensive market access, and in-house data-driven insights. Its goal is to deliver comprehensive financial products with integrity and growth while supporting clients and communities through data-backed analysis and targeted programs.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1959

Simplify Jobs

Simplify's Take

What believers are saying

  • Institutional clients migrate treasury activity to JPMorgan's blockchain infrastructure, generating recurring fees.
  • AI investment of $2B annually drives operational efficiency without workforce reduction, improving margins.
  • 23% return on tangible common equity with 71M digital customers supports sustained profitability growth.

What critics are saying

  • Starmer's ouster triggers £9.9B London Canary Wharf project cancellation if successor government hostile.
  • SEC reverses yield-bearing tokenized asset rules, forcing Kinexys platform redemption and client litigation.
  • Branch expansion into low-income markets increases credit losses and fraud exposure in underserved segments.

What makes JP Morgan Chase unique

  • Tokenized fund leadership on Ethereum with $32B RWA market capturing institutional treasury migration.
  • Coordinated fraud prevention ecosystem through $14M philanthropic investment complementing internal AI defenses.
  • Geographic branch expansion into 500 locations by 2027 targeting underserved rural communities.

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Benefits

Health Insurance

Flexible Work Hours

Paid Sick Leave

Paid Holidays

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