Data Product Owner-Vice President

JPMorgan Chase; Columbus (OH); On-site; USD 110,000 - 170,000; Full time

Job summary

JPMorgan Chase in Columbus, OH invites applications for a Data Product Owner role within Small Business Data and Analytics. You will own how Small Business Deposits data is sourced, documented, delivered, and used to power decisions across the business, partnering with product, technology, analytics, operations, and risk teams to strengthen data quality and reduce data risk.

As the Data Product Owner, you will define, classify, and publish critical data assets, ensure high quality and

Qualifications

• Bachelor's degree and 5+ years in a data-related role.
• Hands-on data management, governance, and data warehousing.
• Familiarity with public cloud data platforms such as AWS.
• Experience with agile delivery, Scrum-based development.

Responsibilities

• Plan development and delivery of Small Business data to support strategy, operations, analytics, and reporting.
• Define critical product data scope with business partners and clarify how the data will be used.
• Capture project requirements and acceptance criteria with product partners in delivery work items.
• Coordinate with third-party vendors to establish and maintain published data assets for the Small Business Deposits portfolio.
• Support modernization of published assets into enterprise data lake and enterprise data warehouse environments.
• Align with other data owners to obtain approvals and enable responsible use of shared data assets.
• Resolve data delivery issues with data technology partners to keep assets on track and fit for use.
• Document data assets at the column level, including names, definitions, data types, access controls, retention controls, and protection assignments.
• Explain data meaning and usage as a subject matter expert across stakeholders and functions.
• Build relationships with data consumers across business, technology, analytics, operations, risk, and control functions.
• Lead direct or matrixed team members to execute data-related work and deliver outcomes.

Skills

Data management

Data governance

Data warehousing

Business intelligence

Machine learning

AWS

Agile

Stakeholders

Cloud experience

Documentation

Education

Bachelor's degree

Master's degree

Tools

AWS

Job description

Data can accelerate growth only when it is trusted, well-defined, and protected. In this role, you will own how Small Business Deposits data is sourced, documented, delivered, and used to power decisions across the business. You will partner with product, technology, analytics, operations, and risk and control teams to strengthen data quality and reduce data risk. Your work will directly support faster product development and a better Chase customer experience. If you enjoy translating complex data into clear outcomes, this is a high-impact opportunity.

As a Data Product Owner in Small Business Data and Analytics, you will be accountable for the data used across the Small Business Deposits product to support business objectives, advanced analytics, operations, and reporting. You will define, classify, and publish critical data, ensuring assets are clearly documented, high quality, and appropriately protected. You will collaborate with business partners, technology teams, and third-party vendors to deliver data that meets quality and safety expectations. You will execute processes to identify, monitor, and mitigate data risks throughout the data life cycle in alignment with firmwide policies and standards.

Job responsibilities

• Plan development and delivery of Small Business data to support strategy, operations, analytics, and reporting
• Define critical product data scope with business partners and clarify how the data will be used
• Capture project requirements and acceptance criteria with product partners in delivery work items
• Coordinate with third-party vendors to establish and maintain published data assets for the Small Business Deposits portfolio
• Support modernization of published assets into enterprise data lake and enterprise data warehouse environments
• Align with other data owners to obtain approvals and enable responsible use of shared data assets
• Resolve data delivery issues with data technology partners to keep assets on track and fit for useDocument data assets at the column level, including names, definitions, data types, access controls, retention controls, and protection assignments
• Explain data meaning and usage as a subject matter expert across stakeholders and functions
• Build relationships with data consumers across business, technology, analytics, operations, risk, and control functions
• Lead direct or matrixed team members to execute data-related work and deliver outcomes

Required qualifications, capabilities, and skills

• Bachelor's degree and 5+ years of industry experience in a data-related role
• Hands-on knowledge of data management and governance, data integration, data warehousing, business intelligence, and machine learning concepts
• Familiarity with public cloud data platforms (for example, Amazon Web Services)
• Ability to manage delivery across multiple workstreams with different timelines and dependencies
• Experience creating process flows, data flows, and business requirements documentation
• Demonstrated ability to deliver outcomes through strong internal partnerships
• Working knowledge of agile delivery practices, including Scrum-based development
• Ability to operate effectively in ambiguous environments while staying organized and driving progress
• Experience supporting risk and control requirements related to data quality, access, and protection
• Strong interpersonal and communication skills, including the ability to align stakeholders

Preferred qualifications, capabilities, and skills

• Master's degree
• Domain knowledge in small business banking processes, products, or product data
• Practical experience in big data engineering, analytics, or machine learning solutions
• Experience with cloud-based data technologies and their business applications
• Knowledge of query or analytical programming languages used for data analysis
• Product life cycle experience, including product management partnership
• Understanding of extract, transform, and load principles and common data structures