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Wealth Management - Client and Account Data Product Manager - Vice President

JPMorgan Chase

Wealth Management - Client and Account Data Product Manager - Vice President

JPMorgan Chase

Newark, DE, United States, US

·

On-site

·

Full-time

·

1w ago

Driving the future of Wealth Management, the Client and Account Data Product Manager leads innovation and excellence in data strategy and solutions.

As a Client and Account Data Product Manager in JP Morgan’s Wealth Management, you will be instrumental in advancing the strategic vision and execution of the Party and Account Data Domain. Your responsibilities include leading product development, improving data quality, and integrating analytics to address business and client needs. You will work closely with operations, advisors, and business stakeholders to deliver robust data solutions, support agile transformation, and drive continuous improvement throughout Wealth Management.

Job responsibilities

  • Support the execution of the product vision and strategy for the Party and Account Data Domain

  • Collaborate with data consumers, business stakeholders, and technology teams to gather requirements and address challenges

  • Manage and refine the product backlog, ensuring alignment with business priorities and agile best practices

  • Write clear user stories, define acceptance criteria, and track progress on development tasks and issues

  • Assist in the design and implementation of reusable data capabilities and micro-services across Wealth Management

  • Conduct data quality assessments, support improvement initiatives, and facilitate integration with analytics platforms

  • Monitor and report on data-related risks, ensuring compliance with firm-wide policies and standards

Required qualifications, capabilities, and skills

  • 5+ years of experience in product management, data analysis, or related roles within financial services or technology

  • Solid understanding of Agile (Scrum) methodologies and backlog management

  • Experience in data governance, data modeling, and data quality improvement

  • Strong collaboration and relationship-building skills with business, technical, and data stakeholders

  • Familiarity with microservices architecture and analytics platforms

  • Proficiency in data analysis, process mapping, and use of analytical tools (e.g., Alteryx, MS Visio)

  • Demonstrated ability to manage projects, solve problems, and support change initiatives

Preferred qualifications, capabilities, and skills

  • Experience in wealth management or related financial services

  • Knowledge of Client or Account data domains and industry-specific data challenges

  • Ability to prepare and present information to management and cross-functional teams

  • Strong written and verbal communication skills

  • Ability to manage multiple tasks and priorities in a dynamic environment

  • Experience working both independently and collaboratively within teams

  • Analytical mindset with the ability to break down and solve complex problems

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

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Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study