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Data Owner Lead - Vice President

JPMorgan Chase

Data Owner Lead - Vice President

JPMorgan Chase

Columbus, OH, United States, US

·

On-site

·

Full-time

·

2mo ago

Are you passionate about harnessing the power of data to shape the future of financial services? Join us and make a direct impact on how we deliver data to improve the Chase customer experience. Be part of a team that values your expertise and empowers you to make a difference. Together, we create value by making data accessible, reliable, and secure for our business and customers.

As a Data Owner Lead on the Fulfillment and Archive Services team, you play a pivotal role in driving our data strategy and ensuring the quality and protection of data across our products. You collaborate with product, technology, and analytics partners to deliver data that supports business objectives and advanced analytics. You help us identify and mitigate data risks, ensuring compliance with firmwide policies. You will collaborate with talented teams and drive business outcomes through data-driven innovation. This is your opportunity to influence the way we manage, protect, and leverage data across our organization.

Job Responsibilities

  • Create plans to develop and deliver product data supporting strategic business objectives and analytics
  • Drive understanding of data usage within the business and provide subject matter expertise
  • Identify and document critical data scope, meaning, and purpose, ensuring proper metadata classification
  • Support analytics initiatives by identifying data required for integration into analytics platforms
  • Document and coordinate requirements for data accuracy, completeness, and timeliness
  • Resolve data issues promptly by influencing resources and stakeholders
  • Develop and implement processes to identify, monitor, and mitigate data risks
  • Manage compliance with firmwide policies, standards, and procedures for data integrity and protection
  • Build relationships with data delivery partners and consumers across business, technology, analytics, and risk functions
  • Track and manage workstreams and key performance indicators to ensure successful deliveries

Required Qualifications, Capabilities, and Skills

  • Bachelor’s degree and 6+ years of experience in data focused roles
  • Experience managing delivery across multiple workstreams with varying timelines
  • Subject matter expertise in business or product data or processes
  • Technical knowledge of data management, governance, big data platforms, or data architecture to include use of SQL
  • Demonstrated ability to manage delivery timelines and achieve organizational goals
  • Proven ability to execute through internal partnerships
  • Strong interpersonal and communication skills, with ability to articulate technical concepts to senior audiences
  • Structured thinker with strong business acumen
  • Understanding of Agile development methodology
  • Ability to manage and lead teams to execute data-related tasks
  • Commitment to data quality, protection, and compliance

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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%

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