Data Scientist Executive Director – Card Data & Analytics, Customer & Strategic Analytics

Job Description

Join JPMorgan

Chase’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 JPMorgan

Chase 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.

• 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 with 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

• 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…