Data Scientist Director - Card Data & Analytics, Customer & Strategic Analytics
Job
JPMorgan Chase
Wilmington, DE (In Person)
$244,625 Salary, Full-Time
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Job Description
Join JPMorganChase's Card business as a Data Scientist Director, leading the Card Data & Analytics Customer & Strategic Analytics team. You will lead a high-performing organization of analytics leaders, data scientists, and analysts to drive measurable business impact through AI, machine learning, and advanced analytics. This is a senior leadership role that sits at the intersection of innovation and execution-requiring equal parts technical depth, strategic vision, and people leadership. As a Data Scientist Director at JPMorganChase within the Card Data & Analytics Customer & Strategic Analytics team, you will lead end-to-end delivery of AI and analytics solutions that shape product strategy, customer experience, and competitive positioning. You will build and develop a diverse team of analytics professionals, set technical and analytical direction across multiple business domains, and translate complex insights into clear, actionable recommendations for senior stakeholders. You will foster a culture of intellectual curiosity, inclusion, and continuous improvement while influencing roadmaps, shaping business decisions, and building organizational capability.
- Job 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.
- Required qualifications, capabilities, and skills
- + 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 •Preferred qualifications, capabilities, and skills•+ 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 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.
- Base Pay/Salary
- New York,NY $204,250.
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