Data Owner Lead - Vice President
Job in
Plano, Collin County, Texas, 75023, USA
Listed on 2026-02-16
Listing for:
JPMorgan Chase & Co.
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, Data Science Manager, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Category:
Analytics Solutions & Delivery
Job Schedule:
Full time
Posted Date: T17:13:16+00:00
Job Shift:
:
The Home Lending Data & Analytics Team unifies data and analytics talent across Chase and JP Morgan Home Lending to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data governance and data strategy/partnerships to reporting, data science and machine learning, and are actively engaged in ensuring impact at the front-line and the customer through Sales and Marketing transformation.
We have a strong partnership with our dedicated Technology partners, who provide us with our cutting-edge data and analytics infrastructure. Joining Data & Analytics means you sit in the engine that powers Chase and JP Morgan Home Lending with insights, providing an opportunity to materially impact both our customer and business outcomes. The team also offers significant learning and mobility opportunities for career development and future growth
Job Summary:
As a Data Owner Lead on the Home Lending Data & Analytics Team, you are responsible for shaping and executing our data strategy, ensuring data quality, and protecting data across all products. You will partner with product, technology, and analytics teams to deliver data that drives business objectives and supports advanced analytics.
Your role includes identifying and mitigating data risks, ensuring compliance with firmwide policies and standards, and fostering data-driven innovation.
You will serve as a subject matter expert, coordinating between data providers and consumers to ensure business data is well-understood, fit for purpose, and seamlessly integrated into analytics platforms. Additionally, you will be accountable for managing data risks throughout the data lifecycle, supporting business outcomes through effective data stewardship.
Responsibilities
* Create plans for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting and 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 and support the aligned Data and Analytics Leads for their product by identifying data required to be integrated into analytics platforms to support analytics projects.
* Document requirements for the accuracy, completeness, and timeliness of data within the product, and coordinate resources to deliver data quality requirements and influence resources to resolve identified data issues in a timely manner.
* Develop processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality and manage the execution of tasks to comply with Firmwide policies, standards, and procedures related to the integrity and protection of data in the product.
* Develop strong relationships with product data delivery partners and data consumers, including leaders in the Business, Technology, Analytics, Operations, Risk and Control functions and manage the execution of a set of milestones and understand and mitigate risks, bottlenecks, and inefficiencies in the product development lifecycle with respect to data.
* Track and manage work streams and associated KPIs to ensure deliveries are successful and manage direct or matrixed staff to execute specific data-related tasks.
Required qualifications, capabilities, and skills:
* 5+ years of industry experience in a data-related field;
Bachelor's degree required.
* Experience managing delivery across multiple work streams with varying timelines.
* Technical knowledge of data management, data engineering, data pipelines, data modeling, data architecture and governance.
* Knowledge of cloud platforms like AWS, Google or Azure, and/or experience with big data technologies like Hadoop, Spark, Alteryx, Snowflake
* Demonstrated ability to manage delivery timelines, and ensure our product and organization is on track to meet our goals and proven ability to execute via internal partnerships.
* Ability to crisply articulate complex technical concepts to senior audiences with poise and confidence.
* Understanding of Agile technological development methodology.
Preferred qualifications, capabilities, and skills:
* Subject matter expertise in business or product data or processes, Home Lending domain knowledge is a plus.
* Master's degree preferred.
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