Data Scientist Director, Executive Director

Join JPMorganChase's Business Banking division as a Data Scientist Director leading analytical team supporting a product vertical. This is a senior leadership role that requires strategic vision and depth in Data Science and AI/ML, the ability to translate between business strategy and technical execution, and a track record of building and managing 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 Business Banking portfolio. The role spans three core areas: setting AI and analytical direction across product domains, serving as the bridge between senior business stakeholders and technical teams, and building organizational capability through talent development, inclusive culture, and operational excellence.

• 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 to create competitive advantage

• Stay current on emerging AI/ML techniques and evaluate new capabilities,

tools, and vendor offerings for practical application in the Business Banking business

• Partner with Data, Product, Technology, Risk, and Finance to deliver

Analytics and AI/ML solutions from ideation through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs

• Lead analytics supporting customer experience, product design, portfolio

skills development programs

• Champion a culture of innovation, intellectual rigor, inclusion, and

collaborative problem-solving across the broader Business Banking D&A organization

Required qualifications, capabilities, and skills

• Bachlors Degree with 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

• 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

• 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

• 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

• Proficiency in Python and/or R, and experience with modern data platforms

such as Snowflake or Databricks

• Familiarity with data architecture concepts (ingestion, modeling, governance,

• Familiarity with responsible AI principles, model governance, and regulatory

• Experience enabling analytics adoption through change management,

• 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. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.