Card Data Team - Data Owner Senior Associate

JPMorgan Chase & Co.•Plano, TX

About The Position

As a Data Owner Senior Associate within the Card Data Team, you will be a passionate leader focused on accelerating product development and enhancing the Chase customer experience through data. This crucial role involves delivering critical business initiatives and driving continuous improvement in data processes. You will be responsible for meticulously documenting and analyzing data flows across various systems, ensuring seamless integration and consistency.

Requirements

Data engineering skills with proficiency in data extraction and modeling techniques.
Experience with cloud platforms and data modeling tools.
Proven ability to manage delivery across multiple workstreams.
Exceptional communication skills, capable of articulating complex technical concepts to senior audiences.

Nice To Haves

Subject matter expertise in data engineering and modeling.
Experience in managing data-related tasks and projects.
Strong analytical and problem-solving skills.
Credit risk management experience is a plus.

Responsibilities

Accurately document data flows across various systems, ensuring clarity and comprehensiveness in the representation of data movement and transformation.
Investigate and analyze different data attributes within multiple systems to understand and document their characteristics, usage, and impact on business processes.
Track and map the relationships between data attributes and systems, identifying dependencies and interactions to optimize data integration.
Develop and maintain data models that reflect the current and future state of data architecture, ensuring continuous improvement in data processes.
Work closely with business analysts, IT teams, and other stakeholders to gather requirements and drive data process improvements.
Work with key partners to drive an understanding of the data and its use within the business. Provide subject matter expertise with respect to the content and use of data in the product and associated business area.
Identify the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control.