Data Science Lead Jobs at JPMorganChase with Visa Sponsorship
Data Science Lead jobs at JPMorganChase span its technology, risk, and financial products divisions, with a consistent track record of visa sponsorship for qualified candidates in this function. If you're targeting a senior data science role here, visa sponsorship is a realistic part of the conversation.
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Get Access To All JobsINTRODUCTION
We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level.
As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as an expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives.
Job responsibilities
- Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices.
- Use domain modelling techniques to allow us to build best in class business products.
- Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements.
- Build solutions that avoid single points of failure, using scalable architectural patterns.
- Develop secure code so that our customers and ourselves are protected from malicious actors.
- Promptly investigate and fix issues and ensure they do not resurface in the future.
- Make sure our releases happen with zero downtime for our end-users and keep us up to date by continuously updating our technologies and patterns.
- Structure software so that it is easy to understand, test and evolve.
- See that our data is written and read in a way that's optimized for our needs.
- Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate.
- Support the products you've built through their entire lifecycle, including in production and during incident management.
Required qualifications, capabilities and skills
- Formal training or certification on data engineering concepts and 5+ years applied experience.
- Recent hands-on professional experience as a data engineer.
- Expertise with Relational databases like Oracle, SQL Server and Postgres.
- Proficient with AWS cloud technologies and distributed systems.
- Proficiency with data transformation frameworks and data pipeline orchestration tools.
- Experience with data governance frameworks.
- Prior experience with managing large volumes of data and optimizing data processing.
- Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
- Excellent written and verbal communication skills.
- Understanding of event-based architecture, data streaming and messaging frameworks.
- Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
- Manage stakeholders and effectively prioritize work across multiple work streams.
Preferred qualifications, capabilities and skills
- Experience in working in a highly regulated environment / industry.
- Understanding of incremental data processing and versioning.
- Understanding of RESTful APIs and web technologies.
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 TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
INTRODUCTION
We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level.
As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as an expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives.
Job responsibilities
- Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices.
- Use domain modelling techniques to allow us to build best in class business products.
- Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements.
- Build solutions that avoid single points of failure, using scalable architectural patterns.
- Develop secure code so that our customers and ourselves are protected from malicious actors.
- Promptly investigate and fix issues and ensure they do not resurface in the future.
- Make sure our releases happen with zero downtime for our end-users and keep us up to date by continuously updating our technologies and patterns.
- Structure software so that it is easy to understand, test and evolve.
- See that our data is written and read in a way that's optimized for our needs.
- Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate.
- Support the products you've built through their entire lifecycle, including in production and during incident management.
Required qualifications, capabilities and skills
- Formal training or certification on data engineering concepts and 5+ years applied experience.
- Recent hands-on professional experience as a data engineer.
- Expertise with Relational databases like Oracle, SQL Server and Postgres.
- Proficient with AWS cloud technologies and distributed systems.
- Proficiency with data transformation frameworks and data pipeline orchestration tools.
- Experience with data governance frameworks.
- Prior experience with managing large volumes of data and optimizing data processing.
- Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
- Excellent written and verbal communication skills.
- Understanding of event-based architecture, data streaming and messaging frameworks.
- Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
- Manage stakeholders and effectively prioritize work across multiple work streams.
Preferred qualifications, capabilities and skills
- Experience in working in a highly regulated environment / industry.
- Understanding of incremental data processing and versioning.
- Understanding of RESTful APIs and web technologies.
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 TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
See all Data Science Lead Jobs at JPMorganChase
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Get Access To All JobsTips for Finding Data Science Lead Jobs at JPMorganChase
Align your portfolio to financial use cases
JPMorganChase evaluates Data Science Leads on applied impact, not academic credentials alone. Frame your portfolio around credit risk modeling, fraud detection, or algorithmic trading to signal direct relevance before your resume reaches a hiring committee.
Target teams beyond core technology
Data Science Lead openings at JPMorganChase sit across Commercial Banking, Asset Management, and Markets divisions, not just in central AI or tech. Applying to business-line postings often means less applicant volume and a hiring manager with direct budget authority.
Request H-1B filing timelines during offer negotiation
JPMorganChase files H-1B petitions on the April 1 federal deadline. If you receive an offer in late 2025 or early 2026, clarify whether they'll use premium processing so you have a firm employment start date before planning your transition.
Prepare your specialty occupation documentation early
USCIS increasingly scrutinizes Data Science Lead petitions to confirm the role requires a specific degree field, not just any bachelor's. Gather syllabi, transcripts, and a detailed job duties letter from your employer before the I-129 is filed to prevent a Request for Evidence.
Use Migrate Mate to filter open roles by visa type
JPMorganChase posts Data Science Lead roles across multiple divisions simultaneously. Search Migrate Mate to filter those openings specifically by the visa types they sponsor, so you're only spending time on positions where your status is already a confirmed fit.
Understand PERM timing for Green Card sponsorship
For EB-2 or EB-3 sponsorship, JPMorganChase must complete DOL's PERM labor certification before filing your immigrant petition. This process runs 12 to 18 months on average, so raise your long-term immigration intentions during offer discussions, not after you've already started.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Data Science Leads?
Yes, JPMorganChase sponsors H-1B visas for Data Science Lead roles and has done so consistently across its technology, risk, and financial services divisions. The company participates in the annual H-1B cap lottery each April and also uses premium processing for time-sensitive hires. If you're currently on OPT or a transferable H-1B, raise your status early in the offer process so the team can plan around USCIS filing deadlines.
Which visa types does JPMorganChase commonly use for Data Science Lead roles?
For Data Science Lead hires, JPMorganChase most commonly sponsors H-1B visas. Australian citizens may qualify for the E-3 visa, which bypasses the lottery and allows faster processing at a U.S. consulate. Candidates with advanced degrees from U.S. universities may also be eligible for the H-1B advanced degree exemption. For permanent residency, JPMorganChase sponsors EB-2 and EB-3 Green Card pathways through the DOL's PERM labor certification process.
What qualifications does JPMorganChase expect for a Data Science Lead?
JPMorganChase typically expects a master's or doctoral degree in statistics, computer science, applied mathematics, or a closely related quantitative field for Data Science Lead roles. Hands-on experience with large-scale machine learning systems, strong Python or Scala proficiency, and demonstrated team leadership are standard requirements. Candidates with applied experience in financial services domains such as risk modeling, fraud analytics, or market surveillance are at an advantage in the hiring process.
How do I apply for Data Science Lead jobs at JPMorganChase?
Applications go through JPMorganChase's careers portal, but roles close quickly and postings are scattered across divisions. The most efficient approach is to use Migrate Mate, which aggregates Data Science Lead openings at JPMorganChase and lets you filter by the visa types they sponsor, saving you from applying to roles where your immigration status isn't a fit. Once you apply, expect a technical screen followed by a multi-stage panel interview assessing both modeling depth and leadership experience.
How long does the visa sponsorship process take for a Data Science Lead at JPMorganChase?
Timeline depends on visa type. An H-1B transfer from an existing employer can be filed any time and typically takes one to three months with premium processing. A new H-1B cap filing locks you to an October 1 start date, meaning offers made after April generally mean a six-plus month wait. E-3 visa consular processing for Australian citizens usually runs two to four weeks. PERM-based Green Card sponsorship runs 18 to 36 months from initiation to I-140 approval.