refresh

Trending Companies

Trending

Jobs

JobsJPMorgan Chase

Data Governance Lead

JPMorgan Chase

Data Governance Lead

JPMorgan Chase

Chicago, IL, United States, US

·

On-site

·

Full-time

·

1mo ago

Join CDAO team for an interesting initiative as Lead data management initiatives and oversee product development strategies as a Vice President in data management.

As a Data Management Product Manager within the Corporate and Investment Bank Chief Data Analytics Office, you will play a pivotal role in creating innovative product capabilities and leading the entire governance product life cycle. You will focus on developing and enhancing data solutions that empower stakeholders within the Data Governance organization. You will manage a strategic product backlog centered on innovation and automation, overseeing complex implementations that utilize advanced analytics to address high-profile topics and new regulations. With your experience as a product leader, you will guide the design and successful launch of data tools and capabilities. You will gather requirements and crucial feedback to ensure top-tier experiences for end users. Your success will depend on your ability to seamlessly transition between understanding technical, engineering-specific capabilities and building a comprehensive vision and roadmap for our data platforms.

Job responsibilities:

  • Lead the design and development of data governance products that meet business needs and drive value
  • Own, maintain, and develop product backlog that supports the strategic roadmap, focusing on innovation and automation
  • Collaborate across the organization (e.g. Firmwide CDAO, CIB Data Risk Pillars, Engineering, Data Science, Legal) to re-engineer strategic processes
  • Effectively represent CIB stakeholder requirements across firmwide products and ensure appropriate prioritization
  • Manage and prioritize multiple projects while ensuring timely delivery of high-impact initiatives
  • Ensure proper governance and compliance protocols in product implementations
  • Communicate complex technical concepts to non-technical stakeholders
  • Build strong relationships with CIB data pillar leads to align initiatives to organizational priorities
  • Report and escalate issues to management as needed

Required qualifications, capabilities and skills

  • 10+ years of diverse problem-solving experience, such as data strategy, product management, project management, consulting, internal strategy or a related field within financial services or fintech
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Bachelor’s degree or equivalent work experience in a relevant field (e.g. Data, Computer Science, Business Analytics)
  • Good knowledge and understanding of data, AI, and emerging technologies
  • Strong analytical skills with the ability to apply quantitative approaches to problem-solving
  • Ability to quickly assimilate new topics and information with excellent attention to detail
  • Excellent verbal and written communication skills; ability to effectively communicate with senior management and key partners
  • Take ownership and accountability for areas of responsibility

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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%

Recommend to a Friend

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

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2 reports

$188,500

total / year

Base

$145,000

Stock

-

Bonus

-

$182,000

$195,000

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