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职位JPMorgan Chase

EMEA CDO Delivery Lead Vice President

JPMorgan Chase

EMEA CDO Delivery Lead Vice President

JPMorgan Chase

LONDON, United Kingdom, GB

·

On-site

·

Full-time

·

2mo ago

必备技能

Excel

Join us as we accelerate JPMorgan Chase’s data and analytics journey. You will play a pivotal role in shaping how we manage, protect, and leverage data across EMEA. This is your opportunity to collaborate with talented colleagues, influence firmwide strategy, and make a meaningful impact on our business. At JPMorgan Chase, you’ll find a culture that values innovation, partnership, and continuous growth.

As a Firmwide EMEA Chief Data Office Delivery Lead in the Chief Data & Analytics Office, you will drive the adoption of our data management strategy across EMEA. You will ensure data policies, governance, and standards are consistently applied across all lines of business and legal entities. You will collaborate with global and regional teams to deliver on key programs and regulatory requirements. Your work will help foster a strong data culture and support the firm’s commitment to data quality and security.

Job Responsibilities:

  • Partner with Firmwide Chief Data Office colleagues to deliver EMEA regional data office program dependencies

  • Coordinate programs such as Legal Regulatory Change Management, Data Tiering, Data Resiliency, Data Commercialisation, and external data optimization and safeguarding

  • Lead regulatory-specific projects required by EMEA jurisdictions and legal entity regulations

  • Promote and enhance data culture awareness across the franchise

  • Collaborate with EMEA CDO colleagues to define the data agenda and strategy in line with global policies and local regulations

  • Partner with Compliance, Legal, Government Relations, Technology, and Cybersecurity teams to monitor data-related regulatory initiatives and their impact

  • Foster strong relationships across lines of business and functions to support data initiatives

Required Qualifications, Capabilities, and Skills:

  • Bachelor’s degree in Finance or related field

  • Experience in finance or operations within leading financial institutions

  • Understanding of data flows and data controls

  • Clear and concise written and verbal communication skills, with the ability to tailor messages to various management levels

  • Ability to work effectively with a wide range of business lines and functions

  • Strong analytical and problem-solving skills

  • High motivation with excellent time management and organizational skills

  • Proficiency in Excel and PowerPoint (including Pitch Pro)

  • Strong interpersonal and relationship-building skills, with flexibility to engage diverse teams

Preferred Qualifications, Capabilities, and Skills:

  • Experience in data-related or technology fields

Why Join Us?

Be part of a team that is shaping the future of data at JPMorgan Chase. You will have the chance to grow your career, work with passionate professionals, and contribute to initiatives that drive real business value.

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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

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%

推荐给朋友

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

面试经验

4次面试

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