Shape the future of data management by ensuring the right data is accurate, accessible, and secure. Be at the heart of analytics and operations by defining critical data and improving how it flows across the business. Unlock your potential as you partner with technology and stakeholders to reduce data risk and improve quality. Make your mark by driving innovation and automation across the data lifecycle.
Job Summary
As a Data Owner Senior Associate within Home Lending Servicing, you ensure that data is accurate, accessible, and secure while aligning to stakeholder needs. You define and classify critical business data, oversee data created, provisioned, or consumed by applications, and support analytics, operations, and reporting. You collaborate with business and technology partners to set data strategy and roadmap, align delivery to quality and safety requirements, and mitigate risks across the data lifecycle. You leverage your expertise to publish trusted data products and improve end‑to‑end data management practices.
Job Responsibilities
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Develop and implement plans for delivering product data that supports strategic objectives, operations, analytics, and reporting.
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Identify and document critical data elements with clear definitions and metadata to improve understanding and reuse.
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Lead publishing of curated data to the data lake and drive toward scalable, governed data products.
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Execute processes to identify, monitor, and mitigate data risks across protection, retention, destruction, storage, use, and quality.
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Create operational procedures for data development and delivery that standardize quality and controls.
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Collaborate with partners to define, document, and socialize data usage, providing subject matter expertise on content and application.
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Partner with technology and business teams to investigate root causes of data issues and recommend remediation.
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Build relationships with data providers and consumers across Business, Technology, Analytics, Operations, Risk, and Control.
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Drive automation and innovation by identifying and executing opportunities to apply emerging technologies.
Required Qualifications, Capabilities, and Skills
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Six years of industry experience in a data‑related field.
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Five years of experience in technology engineering and cloud modernization for data analytics on platforms such as AWS.
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Expertise in SQL (e.g., SQL Server, Oracle) and strong understanding of database design and data manipulation.
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Subject matter expertise in business or product data and processes.
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Demonstrated ability to manage delivery timelines and keep teams on track to meet goals.
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Ability to execute through strong internal partnerships.
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Strong interpersonal and communication skills.
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Analytical thinking and problem‑solving skills with solid business acumen.
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Proficiency in Python for data management, automation, and analysis.
Preferred Qualifications, Capabilities, and Skills
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Technical knowledge of data management and governance, big data platforms, and data architecture.
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Experience with real‑time data movement in cloud environments.
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Experience with machine learning, artificial intelligence, and cloud‑native technologies.
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Familiarity with ETL processes and data warehouses.
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Experience with data visualization tools.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- Six years of industry experience in a data-related field.
- Five years of experience in technology engineering and cloud modernization for data analytics on platforms such as AWS.
- Expertise in SQL (e.g., SQL Server, Oracle) and strong understanding of database design and data manipulation.
- Subject matter expertise in business or product data and processes.
- Demonstrated ability to manage delivery timelines and keep teams on track to meet goals.
- Ability to execute through strong internal partnerships.
- Strong interpersonal and communication skills.
- Analytical thinking and problem-solving skills with solid business acumen.
- Proficiency in Python for data management, automation, and analysis.
- Technical knowledge of data management and governance, big data platforms, and data architecture.
- Experience with real-time data movement in cloud environments.
- Experience with machine learning, artificial intelligence, and cloud-native technologies.
- Familiarity with ETL processes and data warehouses.
- Experience with data visualization tools.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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