Data Scientist (Card Data & Analytics Strategy)-Executive Director

JPMorgan Chase & Co.•New York, NY

3d•$180,500 - $285,000

About The Position

Join JPMorganChase's Card business as a Data Scientist Director leading the Customer & Strategic Analytics team within Card Data & Analytics. This is a senior leadership role that requires technical depth in AI/ML, the ability to translate between business strategy and technical execution, and a track record of building high-performing analytics teams. You'll lead a group of analytics leaders, data scientists, and analysts responsible for delivering AI and analytics solutions that shape product strategy, customer experience, and competitive positioning across the Card portfolio. The role spans three core areas: setting AI and analytical direction across multiple business domains, serving as the bridge between senior business stakeholders and technical teams, and building organizational capability through talent development, inclusive culture, and operational excellence.

Requirements

Master's or PhD in a quantitative field and 10+ years of progressive analytics experience
Senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors with strong coaching, org design, and talent development skills
Strong technical foundation in AI/ML, including experience evaluating and adopting emerging techniques, guiding architecture decisions, and moving solutions from prototype to production
Working knowledge of GenAI and agentic AI patterns, including large language models, retrieval-augmented generation, and agentic frameworks, with the ability to assess where they add value vs. simpler approaches
Exceptional ability to translate between technical and business audiences, with a track record of influencing senior leaders and cross-functional partners
Experience scoping and prioritizing a portfolio of analytical workstreams across multiple business domains in a large enterprise environment
Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks
Experience with causal inference, A/B testing, and experimentation frameworks at scale

Nice To Haves

Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
Familiarity with data architecture concepts (ingestion, modeling, governance, quality) and MLOps/observability practices
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

Responsibilities

Define and drive the AI and analytics strategy for Card D&A, identifying high-value opportunities for generative AI, agentic AI, and advanced analytics to create competitive advantage
Stay current on emerging AI/ML techniques and evaluate new capabilities, tools, and vendor offerings for practical application in the Card business
Partner with Data, Product, Technology, Risk, and Finance to deliver AI and ML solutions from ideation through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
Lead analytics supporting customer experience, benefits, product design, portfolio performance, and pricing and targeting strategies
Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
Build and lead competitive intelligence capabilities that monitor market trends, competitor positioning, and industry benchmarks, partnering with external vendors and synthesizing internal and external data to give senior leaders a clear view of the competitive landscape
Deliver forward-looking analyses that inform strategic planning and product roadmap decisions
Serve as the connective tissue between business strategy and technical execution translating business problems into analytical frameworks and translating model outputs into executive-ready recommendations
Define analytical priorities with senior stakeholders, interpret results, and drive data-informed decisions across product, marketing, and servicing strategies
Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, setting clear goals and performance expectations and providing ongoing coaching across all levels
Attract and retain top analytics talent through hiring, onboarding, and skills development programs
Champion a culture of innovation, intellectual rigor, inclusion, and collaborative problem-solving across the broader Card D&A organization