Data Engineer Jobs at JPMorganChase with Visa Sponsorship
Data Engineer jobs at JPMorganChase span its technology, risk, and financial infrastructure teams, where professionals work on large-scale data pipelines, cloud platforms, and analytics systems. The firm has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates in data engineering.
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Get Access To All JobsJob Description
Join JPMorganChase's Card business as a Data Scientist Director, leading the Card Data & Analytics Customer & Strategic Analytics team. You will lead a high-performing organization of analytics leaders, data scientists, and analysts to drive measurable business impact through AI, machine learning, and advanced analytics. This is a senior leadership role that sits at the intersection of innovation and execution—requiring equal parts technical depth, strategic vision, and people leadership. As a Data Scientist Director at JPMorganChase within the Card Data & Analytics Customer & Strategic Analytics team, you will lead end-to-end delivery of AI and analytics solutions that shape product strategy, customer experience, and competitive positioning. You will build and develop a diverse team of analytics professionals, set technical and analytical direction across multiple business domains, and translate complex insights into clear, actionable recommendations for senior stakeholders. You will foster a culture of intellectual curiosity, inclusion, and continuous improvement while influencing roadmaps, shaping business decisions, and building organizational capability.
Job Responsibilities
- Define and drive the AI strategy for Card Data & Analytics, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
- Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
- Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Card business
- Lead analytics supporting customer experience and benefits, delivering insights that inform customer engagement, product design, portfolio performance, and pricing and targeting strategies
- Partner with Product, Risk, and Finance stakeholders to define analytical priorities, interpret results, and drive data-informed decisions
- Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
- Translate customer data into actionable insights that inform marketing, product, and servicing strategies. Build and lead competitive intelligence analytics capabilities that monitor market trends, competitor positioning, and industry benchmarks within the Card space
- Partner with external vendors and synthesize internal and external data sources to provide senior leaders a clear view of the competitive landscape
- Deliver forward-looking analyses that inform strategic planning and product roadmap decisions for the Card business
- Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, fostering a high-performance, inclusive, growth-oriented culture. Set clear goals and performance expectations, provide ongoing coaching, and support career development across all levels of the team
- Attract and retain top analytics talent through hiring, onboarding, and skills development programs. Champion a culture of innovation, intellectual rigor, and collaborative problem-solving across the broader Card Data & Analytics organization.
Required Qualifications, Capabilities, And Skills
- Master's or PhD in a quantitative field and 10+ years of analytics experience
- Proven senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors, in a large enterprise environment
- Deep expertise in data science and analytics, including hands-on experience with predictive modeling, statistical analysis, segmentation, and experimentation
- Demonstrated ability to deliver AI, machine learning, and analytics solutions that drive measurable business outcomes, ideally within financial services or consumer products
- Strong business acumen with the ability to frame analytical problems in terms of business strategy and translate insights into executive-level recommendations
- Experience leading analytics across multiple concurrent business domains, balancing near-term delivery with longer-term capability building
- Exceptional stakeholder management and communication skills, with a track record of influencing senior leaders and cross-functional partners
- Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks
- Strong project and program management skills, including the ability to define success metrics, manage risks, and drive execution across complex initiatives
Preferred Qualifications, Capabilities, And Skills
- Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
- Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks
- Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
- Experience with causal inference, A/B testing, and experimentation frameworks at scale
- Familiarity with responsible AI principles, model governance, and regulatory considerations in financial services
- Experience enabling analytics adoption through change management, self-service tooling, or organizational enablement
- Familiarity with Agile delivery methods and modern product practices
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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Job Description
Join JPMorganChase's Card business as a Data Scientist Director, leading the Card Data & Analytics Customer & Strategic Analytics team. You will lead a high-performing organization of analytics leaders, data scientists, and analysts to drive measurable business impact through AI, machine learning, and advanced analytics. This is a senior leadership role that sits at the intersection of innovation and execution—requiring equal parts technical depth, strategic vision, and people leadership. As a Data Scientist Director at JPMorganChase within the Card Data & Analytics Customer & Strategic Analytics team, you will lead end-to-end delivery of AI and analytics solutions that shape product strategy, customer experience, and competitive positioning. You will build and develop a diverse team of analytics professionals, set technical and analytical direction across multiple business domains, and translate complex insights into clear, actionable recommendations for senior stakeholders. You will foster a culture of intellectual curiosity, inclusion, and continuous improvement while influencing roadmaps, shaping business decisions, and building organizational capability.
Job Responsibilities
- Define and drive the AI strategy for Card Data & Analytics, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
- Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
- Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Card business
- Lead analytics supporting customer experience and benefits, delivering insights that inform customer engagement, product design, portfolio performance, and pricing and targeting strategies
- Partner with Product, Risk, and Finance stakeholders to define analytical priorities, interpret results, and drive data-informed decisions
- Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
- Translate customer data into actionable insights that inform marketing, product, and servicing strategies. Build and lead competitive intelligence analytics capabilities that monitor market trends, competitor positioning, and industry benchmarks within the Card space
- Partner with external vendors and synthesize internal and external data sources to provide senior leaders a clear view of the competitive landscape
- Deliver forward-looking analyses that inform strategic planning and product roadmap decisions for the Card business
- Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, fostering a high-performance, inclusive, growth-oriented culture. Set clear goals and performance expectations, provide ongoing coaching, and support career development across all levels of the team
- Attract and retain top analytics talent through hiring, onboarding, and skills development programs. Champion a culture of innovation, intellectual rigor, and collaborative problem-solving across the broader Card Data & Analytics organization.
Required Qualifications, Capabilities, And Skills
- Master's or PhD in a quantitative field and 10+ years of analytics experience
- Proven senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors, in a large enterprise environment
- Deep expertise in data science and analytics, including hands-on experience with predictive modeling, statistical analysis, segmentation, and experimentation
- Demonstrated ability to deliver AI, machine learning, and analytics solutions that drive measurable business outcomes, ideally within financial services or consumer products
- Strong business acumen with the ability to frame analytical problems in terms of business strategy and translate insights into executive-level recommendations
- Experience leading analytics across multiple concurrent business domains, balancing near-term delivery with longer-term capability building
- Exceptional stakeholder management and communication skills, with a track record of influencing senior leaders and cross-functional partners
- Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks
- Strong project and program management skills, including the ability to define success metrics, manage risks, and drive execution across complex initiatives
Preferred Qualifications, Capabilities, And Skills
- Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
- Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks
- Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
- Experience with causal inference, A/B testing, and experimentation frameworks at scale
- Familiarity with responsible AI principles, model governance, and regulatory considerations in financial services
- Experience enabling analytics adoption through change management, self-service tooling, or organizational enablement
- Familiarity with Agile delivery methods and modern product practices
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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
See all Data Engineer Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer Jobs at JPMorganChase.
Get Access To All JobsTips for Finding Data Engineer Jobs at JPMorganChase
Align your credentials to JPMorganChase's stack
JPMorganChase's Data Engineer roles consistently require experience with cloud platforms like AWS or Azure, distributed systems like Spark, and languages like Python or Scala. Tailor your resume to reflect these specifically before applying.
Target roles inside specific lines of business
JPMorganChase posts Data Engineer roles across Corporate and Investment Banking, Consumer and Community Banking, and Asset Management. Each line of business has different data infrastructure needs, so targeting the division closest to your domain experience sharpens your application.
Understand which visa your role supports
JPMorganChase sponsors multiple visa categories for Data Engineers, including H-1B and E-3 for Australian citizens. If you hold an E-3-eligible passport, confirm that with your recruiter early since the process differs from an H-1B petition and doesn't involve a lottery.
Clarify sponsorship intent before the offer stage
Large financial institutions like JPMorganChase route visa sponsorship through centralized immigration teams. Ask your recruiter during the offer negotiation whether the role is approved for sponsorship, since not every business unit processes petitions on the same timeline.
Time your application around the H-1B cap cycle
If you need H-1B sponsorship, USCIS opens registration in March for an October 1 start date. For cap-subject candidates, JPMorganChase would need to file your I-129 petition by April, so securing an offer well before March significantly increases your chances of starting on time.
Use Migrate Mate to find open Data Engineer roles
Search Migrate Mate to filter Data Engineer listings at JPMorganChase that are open to visa sponsorship. This cuts out roles where sponsorship isn't available, so you can focus your effort on positions that are actually viable for your immigration status.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Data Engineers?
Yes, JPMorganChase sponsors H-1B visas for Data Engineers. The firm processes petitions through its internal immigration team and sponsors across multiple business divisions. If you're a cap-subject candidate, your offer needs to be in place before USCIS's March registration window to be included in that year's H-1B lottery cycle.
How do I apply for Data Engineer jobs at JPMorganChase?
Applications go through JPMorganChase's careers portal or through Migrate Mate, which filters listings by visa sponsorship eligibility. Once you apply, the process typically includes a recruiter screen, technical interviews covering system design and coding, and a final round with the hiring team. Indicating your visa status early helps the recruiting team route your application correctly.
Which visa types does JPMorganChase use for Data Engineer roles?
JPMorganChase sponsors H-1B, H-1B1 visa, and E-3 visas for Data Engineers, as well as Green Card pathways including EB-2 and EB-3 for longer-term employment. Australian citizens should specifically ask about E-3 visa eligibility since it bypasses the H-1B lottery and allows for a faster, more predictable process with two-year renewable status.
What qualifications does JPMorganChase expect for Data Engineer roles?
Most Data Engineer postings at JPMorganChase require a bachelor's or master's degree in Computer Science, Engineering, or a related quantitative field. Practical experience with distributed data systems, cloud infrastructure, and SQL or Python is standard. Roles tied to trading or risk platforms may also expect familiarity with financial data models or compliance data workflows.
How long does the visa sponsorship process take at JPMorganChase?
For H-1B petitions, USCIS premium processing can reduce the approval timeline to around 15 business days once your petition is filed, though registration and lottery selection happen months earlier. E-3 processing at a U.S. consulate typically runs two to four weeks. JPMorganChase's immigration team manages these filings internally, but your start date will depend on your visa category and when your offer is finalized.