Head of Card Customer Analytics & AI Enablement-Executive Director

J.P. Morgan; New York (NY); Hybrid; USD 300,000 - 550,000; Full time

Benefits offered by this job

Health care coverage

On-site wellness center

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase is seeking a Head of Card Customer Analytics & AI Enablement to lead a team of analytics leaders, data scientists, and analysts responsible for delivering AI and analytics solutions across the Card portfolio. You will set strategic direction and ensure alignment with business goals.

Responsibilities include driving AI/analytics strategy, partnering with key stakeholders, mentoring teams, and advancing organizational capability through talent development and inclusive culture.

Qualifications

• Master's or PhD in a quantitative field with 10+ years analytics experience.
• Senior leadership experience managing and developing multi-disciplinary analytics teams.
• Strong technical foundation in AI/ML and experience moving solutions to production.
• Experience with GenAI, LLMs, retrieval-augmented generation, and agentic AI patterns.
• Exceptional ability to translate between technical and business audiences.

Responsibilities

• Define and drive the AI and analytics strategy for Card D&A, identifying high-value opportunities for generative AI and advanced analytics.
• Stay current on AI/ML techniques and evaluate tools/vendors for practical use.
• Partner with Data, Product, Technology, Risk, and Finance to deliver AI/ML solutions end-to-end.
• Lead analytics supporting customer experience, benefits, product design, portfolio performance, pricing and targeting.
• Drive experiments, measurement frameworks, and personalization strategies.
• Build and lead competitive intelligence capabilities using external data and benchmarks.
• Deliver analyses informing strategic planning and roadmaps.
• Translate business problems into analytics and translate model outputs into executive recommendations.
• Define analytical priorities with senior stakeholders and drive data-informed decisions.

Skills

AI/ML depth

Leadership

GenAI patterns

Causal inference

A/B testing

Python

R

Snowflake

Databricks

Stakeholder management

Education

Master's or PhD in quantitative field

Tools

Snowflake

Databricks

Job description

Shape the future of analytics by designing and implementing solutions that empower smarter, faster decisions. This is a senior leadership role within JPMorganChase's Card business 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.

As the Head of Card Customer Analytics & AI Enablement leading the Card Customer & Strategic Analytics team, 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. Your role will span 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.

Job 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
• Champion a culture of innovation, intellectual rigor, inclusion, and collaborative problem-solving across the broader Card Data & Analytics organization

Required qualifications, capabilities, and skills

• 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

Preferred qualifications, capabilities, and skills

• 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

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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Turn card-business strategy into analytics that inform decisions, elevate customer experience, and strengthen competitive position.