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About the Role

You lead by building: teams, products, and the strategy that connects them. Join us to shape how the bank turns customer data into intelligence people can act on, and to grow the product leaders who make it real. As a Product Director in Personalization & Customer Insights (Intelligence) team, you own the product vision and strategy for a portfolio of AI-powered intelligence products, and you lead the product managers who deliver it. You set direction, develop your team, and stay close enough to the work to pressure-test model design, evaluation, and experiment tradeoffs yourself. You act as the voice of the customer, translate research and analytics into a clear multi-year plan, and drive execution across a highly matrixed organization, aligning Data Scientists, ML Engineers, partner teams, and business stakeholders around a shared roadmap. You are accountable for what the team ships, on time and at quality, not just for setting direction. You own the products that give a clear, 1:1 understanding of each customer, built for customers and for the bankers who serve them. You make sure that intelligence is tested and validated before it reaches customers, and you drive the personalization strategy with the lines of business. You partner closely with the platform and modeling teams that build and serve the models, but your portfolio is the intelligence itself and how the business puts it to work. At its core, this work is about personalization that makes every interaction feel built around the individual: the sense that the bank knows them and is working for them. Delivering that at scale takes more than one great product; it takes a product organization with a clear strategy and the leadership to execute it. This role sets that vision, builds the team that delivers it, and drives it to reality across the organization.

Responsibilities

Oversees the product roadmap, vision, development, execution, risk management, and business growth targets
Leads the entire product life cycle through planning, execution, and future development by continuously adapting, developing new products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth
Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives
Owns product performance and is accountable for investing in enhancements to achieve business objectives
Monitors market trends, conducts competitive analysis, and identifies opportunities for product differentiation
Stay hands-on across the model lifecycle with Data Scientists and ML Engineers: model design, evaluation, and iteration for LLM/ML-based solutions
Frame hypotheses and run experiments (e.g., A/B testing) to validate impact and measure outcomes, and raise the experimentation bar across your team
Define and track product KPIs for engagement, quality, cost, risk posture, reliability, and business outcomes
Align with partner teams on contracts, SLAs, and guardrails so intelligence is delivered safely and consistently across surfaces
Be accountable for responsible AI and data practices across your portfolio, including consent management and fairness, in partnership with Risk, Privacy, and Compliance
Drive execution across a highly matrixed organization and represent the Intelligence space to executive stakeholders

Requirements

8+ years of experience or equivalent expertise delivering products, projects, or technology applications
Extensive knowledge of the product development life cycle, technical design, and data analytics
Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
Experience driving change within organizations and managing stakeholders across multiple functions
Proven success delivering AI/ML-powered products to production in customer-facing environments, in close partnership with Data Science and ML Engineering across the model lifecycle
Demonstrated success with ML-driven personalization and/or next-best-action, including experimentation and rigorous outcome measurement
Strong data literacy, able to turn research and metrics into decisions and roadmaps that deliver on time, cost, and quality
Hands-on data fluency: able to explore and query data yourself (SQL/Python, or AI-assisted tools such as GitHub Copilot or Claude) to frame problems, sanity-check models, and move quickly. This role does not lead from a distance; familiarity with these tools is expected
Accountable for delivery, not just direction: a track record of owning a product through to production and prioritizing under real constraints, balancing new work against operational stability, reliability, controls/regulatory needs, and technical debt
Comfort with ambiguity and breadth: a track record of stepping into unfamiliar problem spaces and, in a space that is still forming, helping define it
Proven ability to set product vision and drive execution across a highly matrixed organization; excellent executive stakeholder management and clear, structured written and verbal communication

Skills

AI/ML
LLMs
Personalization
Next-best-action
Experimentation
Outcome measurement
Data literacy
SQL
Python
GitHub Copilot
Claude
Responsible AI
Data practices
Consent management
Fairness
Risk management
Privacy
Compliance
Product development life cycle
Technical design
Data analytics
Stakeholder management
Executive stakeholder management
Written communication
Verbal communication

Location

Remote

Work Type

Full-time

Experience Level

8+ years

Education Level

BS or MS in Engineering, Data Science, or a comparable field

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 Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm’s data sharing principles of security, customer control and convenience, and privacy.

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. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans