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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Data Owner Vice President - Connected Commerce

职能数据工程
级别VP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

AWS

Azure

Spark

Join a team that leverages our strong merchant relationships, our 65 million customer base, and industry leading customer insights to find, attract, and engage intended audiences throughout their purchase journeys.

As a Data Owner Lead, within Connected Commerce, you will be part of a highly collaborative data & analytics team that partners with product, design, technology, marketing, and analytics to enable data driven next generation and help craft the data requirements, develop data specifications for data delivery, partner with data delivery tech and product and analytics team to identify data gaps and make recommendations to build AI/ML based solutions.

Job responsibilities

  • Partner with Product Owners, Data Scientists, Analysts, and Tech Leads to identify data needed for personalization product capabilities and advanced analytics outcomes, such as customer insights and deeper offer engagement.
  • Drive increased business value by aligning cross-functional teams to support data-driven personalization initiatives.
  • Manage the personalization data roadmap, including backlog, requirements, and prioritization to ensure strategic alignment and delivery.
  • Lead discovery for new initiatives by determining and refining both business and customer value.
  • Collaborate with technology partners to assess technical feasibility and data availability for new projects.
  • Refine and prioritize user stories to ensure consumer experience requirements are met.
  • Lead sprint planning, execution, and other scrum events for technology development teams focused on consumer experience enhancements.

Required qualifications, capabilities, and skills

  • 6+ years of experience in data management, data governance, ad-tech, Knowledge of cloud platforms like AWS, Google or Azure, and/or experience with big data technologies like Hadoop, Spark, etc.
  • Bachelors in Science or Data or any relevant field.
  • Experience developing roadmaps and public cloud platform based solutions for data lake, data warehouse and business intelligence dashboards
  • An outstanding ability to analyze problems, apply quantitative analytical approaches, communicate effectively and confidently (both oral and written), work well in cross-functional teams
  • Ability to identify and address program execution needs in a fast-paced environment; previous exposure to agile practices and ability to adapt agile tools
  • Experience in Data Product ownership, Data governance and ability to work a cross functional & matrix teams, public cloud.
  • Ability to partner directly with technology scrum teams to translate product requirements and user stories into technology sizing estimates and requirements

Preferred qualifications, capabilities, and skills

  • Experience working on public cloud platforms, AI/ML, digital marketing, controls partners to align roadmap
  • Experience in consumer banking, and/or consulting
  • Understanding of public cloud technologies, web application frameworks and mobile native technologies

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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

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

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