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JPMorganChase

data opportunity

Product Manager – Personalization & Customer Insights (ML Product Portfolio)

You will lead the vision, strategy, and lifecycle for a portfolio of machine learning products that transform customer data into actionable intelligence. You will also collaborate with cross-functional teams to deliver personalized experiences while ensuring adherence to privacy, fairness, and governance standards.

New York, New York, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

Shape how millions of customers experience smarter, more relevant interactions.

In this role, you’ll lead a portfolio that turns insights into timely,

personalized actions across key moments that matter. You’ll bring together

product, design, engineering, and data science to deliver measurable outcomes

with trust at the center. Join us to build responsible innovation that improves

customer experiences and helps teams move faster.

As a Product Manager in Personalization & Customer Insights, you will own the

vision, strategy, and end-to-end lifecycle for a portfolio of machine-learning

(ML) products that transform customer data into actionable intelligence. You’ll

represent customer needs, translate research and analytics into a clear roadmap,

and align cross-functional partners across a highly matrixed organization.

You’ll help deliver proactive, personalized intelligence and next-best-action

experiences across key moments such as marketing, servicing, conversational

assistants, and personal financial management. You’ll also enable partner teams

to self-serve personalization and insights for their own use cases through

shared capabilities and foundations. Along the way, you’ll uphold privacy,

consent, and fairness standards while guiding scalable experimentation and

reliable delivery.

JOB RESPONSIBILITIES

* Develop a product vision and strategy that delivers measurable value to

customers and partners

* Lead cross-functional execution across Product, Design, Engineering,

Marketing/Servicing, and business stakeholders in a highly matrixed

environment

* Own the roadmap and backlog for a portfolio spanning recommendations,

ranking, predictive models, segmentation, assistant experiences, and the

model development lifecycle platform

* Lead discovery and research, translating insights into epics, user stories,

and acceptance criteria

* Design hypotheses and run experiments (such as A/B tests) to validate impact

and measure outcomes

* Partner with data scientists and machine learning engineers across the model

lifecycle from problem framing through production release

* Collaborate with Risk, Privacy, and Compliance to guide consent, governance,

and fairness practices

* Define and track key performance indicators tied to engagement, quality,

cost, risk posture, reliability, and business outcomes

* Champion application programming interface and event-driven delivery patterns

on cloud infrastructure to enable scalable signals and context across

channels

* Uphold responsible artificial intelligence (AI) and data practices, including

consent management, fairness, and governance

* Cultivate a culture of experimentation, measurable outcomes, and responsible

innovation

REQUIRED QUALIFICATIONS, SKILLS, AND CAPABILITIES

* 8 years or more of product management experience (or equivalent), including

ownership of product vision and roadmap for a portfolio

* Experience delivering artificial intelligence or machine-learning products

(AI/ML) into production for customer-facing experiences

* Experience with personalization or next-best-action use cases, including

experimentation and rigorous outcome measurement

* Demonstrated ability to translate research, analytics, and metrics into

roadmap decisions balancing time, cost, and quality

* Hands-on data fluency, including ability to explore and query data using SQL

or Python and JPMorganChase-approved developer tools

* Experience leading work in ambiguous, rapidly evolving problem spaces and

turning uncertainty into clear plans and priorities

* Experience aligning and influencing cross-functional stakeholders (Product,

Design, Engineering, Data Science, and business leaders) in a highly matrixed

organization

* Experience defining, tracking, and communicating measurable outcomes and

delivery health using agreed success metrics

* Experience writing product artifacts such as epics, user stories, and

acceptance criteria to guide delivery

PREFERRED QUALIFICATIONS

* Production experience with AI/ML and large language model solutions,

including evaluation, iteration, and responsible deployment

* Experience building or shipping platforms and data products that enable model

developers (context, signals, evaluation, and self-service tooling)

* Bachelor’s or Master’s degree in Engineering, Data Science, or a comparable

field

* Familiarity with digital banking trends and privacy, consent, and fairness

considerations in artificial intelligence (AI)

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

[https://careers.jpmorgan.com/us/en/how-we-hire/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 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.

Which skills does this role require?

Product managementMachine learningRoadmap developmentA/B testingSQLPythonStakeholder managementCustomer insightsPersonalizationPredictive modelingData governanceAPICloud infrastructureExperimentationProduct ManagerMachine LearningCustomer InsightsRoadmapA/B TestingCloud InfrastructurePredictive ModelsSegmentationLarge Language ModelsData GovernanceStakeholder ManagementProduct LifecycleUser StoriesAcceptance CriteriaResponsible AIModel DevelopmentCross-functional LeadershipMetricsStrategyCustomer ExperienceLLMsProduct Strategy

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Role information can change. Confirm current details on the original application page.

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