Data Scientist Director, Executive Director

JPMorgan Chase & Co. • New York, NY

7d • $204,250 - $285,000

About The Position

JPMorganChase's Business Banking division is seeking a senior data science leader to lead an analytical team supporting a product vertical. The role requires strategic vision and depth in data science and AI/ML, the ability to translate between business strategy and technical execution, and experience building and managing high-performing analytics teams.

The director will lead analytics leaders, data scientists, and analysts who deliver AI and analytics solutions that shape product strategy, customer experience, and competitive positioning across the Business Banking portfolio. The role sets AI and analytical direction across product domains, connects senior business stakeholders with technical teams, and builds organizational capability through talent development, an inclusive culture, and operational excellence.

Requirements

• Bachelor's degree and 10+ years of progressive analytics experience.
• Senior leadership experience managing and developing multidisciplinary analytics teams, including managers and individual contributors; strong coaching, organizational design, and talent development skills.
• Strong technical foundation in AI/ML, including evaluating and adopting emerging techniques, guiding architecture decisions, and moving solutions from prototype to production.
• Working knowledge of generative AI and agentic AI patterns, including large language models, retrieval-augmented generation, and agentic frameworks, and the ability to assess their value compared with simpler approaches.
• Exceptional ability to communicate 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.
• Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks.

Nice To Haves

• Experience in business banking, consumer lending, or payments analytics, including familiarity with lending and deposits 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 such as ingestion, modeling, governance, and quality, and with MLOps and observability practices.
• Familiarity with responsible AI principles, model governance, and financial services regulatory considerations.
• 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 Business Banking D&A, identifying high-value opportunities for generative AI, agentic AI, and advanced analytics.
• Monitor emerging AI/ML techniques and evaluate new capabilities, tools, and vendor offerings for practical business application.
• Partner with Data, Product, Technology, Risk, and Finance to deliver scalable, responsible Analytics and AI/ML solutions from ideation through production deployment.
• Lead analytics supporting customer experience, product design, portfolio performance, pricing, and targeting strategies.
• Develop measurement frameworks, experimentation—including A/B testing and causal inference—and personalization strategies to improve customer experience and benefits utilization.
• Build and lead competitive intelligence capabilities that monitor market trends, competitor positioning, and industry benchmarks, using internal and external data and external vendors to inform senior leaders.
• Deliver forward-looking analyses to inform strategic planning and product roadmap decisions.
• Translate business problems into analytical frameworks and 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; set goals and performance expectations and provide ongoing coaching.
• Attract and retain analytics talent through hiring, onboarding, and skills development programs.
• Promote innovation, intellectual rigor, inclusion, and collaborative problem-solving across the Business Banking D&A organization.

Benefits

• Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Director