Be a key driver of innovation, collaborating across business and technology to shape data strategies that power smarter decisions, operational excellence, and a thriving data-driven culture!
As a Data Owner Lead on the Digital Data Owner Team, you will help the firm’s agenda of enabling the business to drive faster innovation through the use of its data by ensuring that data is clearly documented, of good quality and well-protected. You’ll be responsible for all customer application and account opening data that is created, published to the data lake, or consumed for advanced analytics or AI/ML use cases. You will serve as a subject matter expert to help define and classify data critical to their product, lead change management from legacy to modernized data, and collaborate with technology and business partners to execute on data requirements. Additionally, you’ll identify, monitor, and mitigate data risks throughout the data life cycle, and simplify the work involved in getting data generation to conversion to dashboards, models, and natural language queries.
Job responsibilities:
- Document data requirements for your product, coordinate with technology to get the data created, and business partners to manage change from legacy data to modernized data
- Model the data with long term vision to enable efficient querying, natural language querying, and use in LLMs; utilize business data dictionary and business metadata from tech and product teams in describing the data in simple understandable terms
- Develop ideas for data products by understanding analytics needs and pain points; create prototypes that analytics and data engineering teams can use as requirements in productizing the datasets
- Develop proof of concepts for natural language querying of the data, and collaborate with analytics, data science, and other stakeholders to rollout the capability to business users
- Support the team in building the backlog, grooming initiatives, and creating user stories to lead data engineering scrum teams to publish new data and create data products
- Manage direct or matrixed staff to execute data-related tasks
Required qualifications, capabilities, and skills:
- Bachelor's degree in a applicable STEM field
- 5+ years working experience data modeling for relational, NoSQL, and graph databases
- Ability to generates advanced data models using firmwide tooling and designing for high performance querying/reporting
- Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions
- Experience with natural language processing, machine learning and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Open data standards, data taxonomy and vocabularies, metadata management
- Able to balance short-term goals and long-term vision in highly complex environments
About Us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
Equal Opportunity Employer/Disability/Veterans
About the TeamSkills Required
- Bachelor's degree in a STEM field
- 5+ years working experience data modeling for relational, NoSQL, and graph databases
- Ability to generate advanced data models using firmwide tooling and design for high performance querying/reporting
- Expertise in analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions
- Experience with natural language processing, machine learning and deep learning toolkits (TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Knowledge of open data standards, data taxonomy and vocabularies, and metadata management
- Ability to balance short-term goals and long-term vision in highly complex environments
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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