Job Summary:
JPMorganChase is a leading financial services firm, and they are seeking a Data Scientist Executive Director to lead the Card Data & Analytics Customer & Strategic Analytics team. This role involves driving AI and analytics solutions to shape product strategy and customer experience while leading a diverse team of analytics professionals.
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.
Qualifications:
Required:
• 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:
• 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
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.