Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Head of Card Customer Analytics & AI Enablement-Executive Director role.

Rezi rewrites your resume against JPMorgan Chase & Co.'s job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Head of Card Customer Analytics & AI Enablement-Executive Director posting at JPMorgan Chase & Co. — free, in seconds.

About the Role

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. This role requires setting AI and analytical direction, bridging business and technical teams, and building organizational capability through talent development.

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

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

Skills

AI/ML
Generative AI
Agentic AI
Advanced Analytics
Python
R
Snowflake
Databricks
Causal Inference
A/B Testing
Experimentation Frameworks
Large Language Models
Retrieval-Augmented Generation
Agentic Frameworks
Data Architecture
MLOps
Model Governance
Responsible AI
Agile Delivery Methods
Product Practices

Location

Onsite

Work Type

Full-time

Experience Level

Senior Leadership
10+ years

Education Level

Master's or PhD

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

About the Company

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.
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.

Equal Opportunity

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.
Equal Opportunity Employer/Disability/Veterans