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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Data Owner Executive Director - Credit Card Data Lead

职能数据科学
级别总监级
地点New York, NY, United States
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Machine Learning

Join JPMorgan Chase and help shape the future of Credit Card Data & Analytics. As an Executive Director, Credit Card Data Owner, you’ll drive product development, business growth, and customer experience by leveraging data as a strategic asset. Collaborate with talented teams, influence firmwide data strategy, and make a direct impact on millions of customers. Grow your career in a dynamic environment that values leadership, innovation, and inclusion.

As an Executive Director, Credit Card Data Owner in the Credit Card Data & Analytics team, you will be accountable for all data in the Credit Card product that is created, provisioned, or consumed to support strategic business objectives, analytics, operations, and reporting. You will coordinate Card’s sourcing and use of data across domains, drive data strategy for key programs, and ensure data quality and protection. You’ll serve as a member of the product leadership team, partnering with Product, Technology, and Analytics leaders to deliver business value and mitigate data risks.

You will act as a subject matter expert, connecting data providers and consumers, and ensuring business data is understood, fit for purpose, and integrated into analytics platforms. You’ll be responsible for identifying and mitigating data risks throughout the data lifecycle, maintaining compliance with firmwide policies and standards, and building strong relationships with stakeholders across the organization.

Job responsibilities

  • Define and execute a strategy for the development and delivery of product data to support business objectives, analytics, operations, and reporting
  • Drive understanding and use of data across business lines through partnerships with Product Owners, analytics leads, and business process owners
  • Provide subject matter expertise on data content and usage within the product and business area
  • Identify and prioritize critical data, ensuring it is well-documented, classified, and controlled with metadata
  • Support Data & Analytics leads by identifying data for integration into analytics platforms for projects such as machine learning and AI
  • Establish and coordinate data quality requirements, influencing resources to deliver accuracy, completeness, and timeliness. Prioritize and resolve data issues to maintain data consumer trust
  • Direct the development of processes to identify, monitor, and mitigate data risks, including protection, retention, storage, use, and quality
  • Ensure compliance with firmwide policies, standards, and procedures for data integrity and protection
  • Build and maintain relationships with data delivery partners and consumers, including senior leaders in Business, Technology, Analytics, Operations, and Risk
  • Drive teams toward execution milestones, manage risks and inefficiencies, and ensure successful delivery
  • Demonstrate governance by tracking workstreams, KPIs, deliverables, risks, and status. Manage direct or matrixed staff to execute data-related tasks

Required qualifications, capabilities, and skills

  • 10+ years of industry experience in a data-related field, Bachelor’s degree required
  • Strong ability to articulate business cases from technical details and manage senior stakeholders
  • Data querying and manipulation skills using SQL, Python, or similar technologies
  • Demonstrated ability to manage tight delivery timelines across multiple workstreams
  • Technical knowledge of data engineering, pipelines, modeling, and architecture
  • Proven ability to execute through internal partnerships and influence across job functions
  • Excellent leadership skills in managing products, programs, projects, and teams. Structured thinker and effective communicator with excellent written communication skills
  • Ability to articulate complex technical concepts to senior audiences. Understanding of Agile technological development methodology

Preferred qualifications, capabilities, and skills

  • Master’s degree
  • Deep subject matter expertise in Credit Card area
  • Experience with data science and engineering
  • Experience in a large, matrixed organization

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关于JPMorgan Chase

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

员工数

New York City

总部位置

$500B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.5

薪酬

4.0

企业文化

3.8

职业发展

3.2

管理层

2.8

68%

推荐率

优点

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

薪资范围

44个数据点

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2份报告

$188,500

年薪总额

基本工资

$145,000

股票

-

奖金

-

$182,000

$195,000

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

录用率

50%

体验

正面 25%

中性 75%

负面 0%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study