Data Science Lead Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase hires Data Science Leads across its technology, risk, and financial products divisions, and the company has a consistent track record of sponsoring work visas 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 JobsJOB DESCRIPTION
Join the Customer Loyalty Analytics Team within Consumer & Community Banking Data & Analytics and help shape how Customer Experience survey data is managed, governed, and activated across the firm.
In this role, you will lead the data domain architecture and operating framework that enables scalable survey execution, interactive reporting, and actionable insights across channels, products, and Customer Experience functions.
You will partner with stakeholders to modernize processes, improve data quality and controls, and unlock more value from platforms like Qualtrics.
If you enjoy building pragmatic data solutions, influencing roadmaps, and enabling teams to make better decisions, this role offers meaningful impact and strong career growth.
Job summary
As a Data Domain Architect Lead - VP in the Customer Loyalty Analytics Team within Consumer & Community Banking Data & Analytics, you will define and drive the strategy, operating framework, and technical capabilities for Customer Experience survey data.
You will lead efforts to ensure data is fit-for-use, governed as a corporate asset, and delivered through reliable platforms, pipelines, and analytics products (e.g., dashboards, taxonomies, automated execution workflows).
You will translate business needs into scalable data designs while ensuring adherence to controls and operational risk requirements.
You will help stakeholders efficiently identify themes and insights from structured and unstructured feedback, enabling measurable improvements to the customer journey.
You will be a key connector across product, channel, analytics, and technology partners—balancing strategic roadmap development with hands-on design, testing, and delivery.
Your work will focus on maximizing enterprise platform capabilities (including Qualtrics XM), improving automation and operational efficiency, and reducing duplication across data domains.
You will also evaluate emerging technologies (including Generative AI tooling where appropriate) to improve how survey data is prepared, interpreted, and delivered to users.
Job responsibilities
- Own the operating framework and deployment strategy for Customer Experience survey data, leveraging appropriate platforms and tools.
- Maximize value from the Qualtrics Experience Management platform by enabling adoption of key features and scalable capabilities.
- Deliver Customer Experience reporting solutions (e.g., interactive dashboards) to support internal stakeholder decision-making.
- Lead the development and refinement of Customer Experience taxonomies to enable efficient identification of themes in unstructured feedback (e.g., survey verbatim).
- Lead the design, testing, and deployment of technical solutions that enable survey execution and improve efficiency through automation.
- Drive operational risk reduction and execute activities required to adhere to controls requirements.
- Profile, wrangle, and prepare data from diverse sources; develop transformation logic using Python or SAS and/or tools such as Alteryx.
- Analyze business processes to identify data needs and determine whether available data is fit for use for specific processes and outcomes.
- Lead use case and requirements definition and support design, testing, and implementation of data delivery and analytics capabilities.
- Define and manage data as a corporate asset by establishing metadata, authoritative sources, data quality rules, security requirements, and data flows, aligned to firm principles, standards, and controls.
- Build and maintain strategic roadmaps for the Customer Experience survey data domain, identifying opportunities to improve utility and eliminate duplication across domains and platforms.
Required qualifications, capabilities, and skills
- Bachelor’s degree or equivalent experience in a quantitative or related field.
- 5+ years of related professional experience in data, analytics, or Customer Experience technology and reporting.
- 3+ years of experience with the Qualtrics Experience Management (XM) platform.
- 1+ year of experience using Generative AI tools such as LLM Suite.
- Demonstrated ability to define data requirements and translate business needs into scalable technical designs and delivery plans.
- Proven ability to define data governance artifacts including metadata, authoritative sources, data quality rules, security requirements, and data lineage/flows.
- Experience profiling and transforming data using languages such as Python or SAS and/or tools such as Alteryx.
- Strong stakeholder management skills with experience delivering reporting or analytics products to business users.
- Ability to lead design, testing, and deployment activities while managing operational risk and controls expectations.
Preferred qualifications, capabilities, and skills
- Broad expertise in data technologies such as data warehousing, ETL, data quality concepts, business intelligence, analytics tooling, unstructured data, and machine learning.
- Technical understanding of relational database systems such as Teradata and Oracle.
- Hands-on experience with data modeling techniques and tools.
- Excellent command of SQL.
- Advanced analytical thinking and problem-solving skills.
- Strong interpersonal and communication skills.
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 the Customer Loyalty Analytics Team within Consumer & Community Banking Data & Analytics and help shape how Customer Experience survey data is managed, governed, and activated across the firm.
In this role, you will lead the data domain architecture and operating framework that enables scalable survey execution, interactive reporting, and actionable insights across channels, products, and Customer Experience functions.
You will partner with stakeholders to modernize processes, improve data quality and controls, and unlock more value from platforms like Qualtrics.
If you enjoy building pragmatic data solutions, influencing roadmaps, and enabling teams to make better decisions, this role offers meaningful impact and strong career growth.
Job summary
As a Data Domain Architect Lead - VP in the Customer Loyalty Analytics Team within Consumer & Community Banking Data & Analytics, you will define and drive the strategy, operating framework, and technical capabilities for Customer Experience survey data.
You will lead efforts to ensure data is fit-for-use, governed as a corporate asset, and delivered through reliable platforms, pipelines, and analytics products (e.g., dashboards, taxonomies, automated execution workflows).
You will translate business needs into scalable data designs while ensuring adherence to controls and operational risk requirements.
You will help stakeholders efficiently identify themes and insights from structured and unstructured feedback, enabling measurable improvements to the customer journey.
You will be a key connector across product, channel, analytics, and technology partners—balancing strategic roadmap development with hands-on design, testing, and delivery.
Your work will focus on maximizing enterprise platform capabilities (including Qualtrics XM), improving automation and operational efficiency, and reducing duplication across data domains.
You will also evaluate emerging technologies (including Generative AI tooling where appropriate) to improve how survey data is prepared, interpreted, and delivered to users.
Job responsibilities
- Own the operating framework and deployment strategy for Customer Experience survey data, leveraging appropriate platforms and tools.
- Maximize value from the Qualtrics Experience Management platform by enabling adoption of key features and scalable capabilities.
- Deliver Customer Experience reporting solutions (e.g., interactive dashboards) to support internal stakeholder decision-making.
- Lead the development and refinement of Customer Experience taxonomies to enable efficient identification of themes in unstructured feedback (e.g., survey verbatim).
- Lead the design, testing, and deployment of technical solutions that enable survey execution and improve efficiency through automation.
- Drive operational risk reduction and execute activities required to adhere to controls requirements.
- Profile, wrangle, and prepare data from diverse sources; develop transformation logic using Python or SAS and/or tools such as Alteryx.
- Analyze business processes to identify data needs and determine whether available data is fit for use for specific processes and outcomes.
- Lead use case and requirements definition and support design, testing, and implementation of data delivery and analytics capabilities.
- Define and manage data as a corporate asset by establishing metadata, authoritative sources, data quality rules, security requirements, and data flows, aligned to firm principles, standards, and controls.
- Build and maintain strategic roadmaps for the Customer Experience survey data domain, identifying opportunities to improve utility and eliminate duplication across domains and platforms.
Required qualifications, capabilities, and skills
- Bachelor’s degree or equivalent experience in a quantitative or related field.
- 5+ years of related professional experience in data, analytics, or Customer Experience technology and reporting.
- 3+ years of experience with the Qualtrics Experience Management (XM) platform.
- 1+ year of experience using Generative AI tools such as LLM Suite.
- Demonstrated ability to define data requirements and translate business needs into scalable technical designs and delivery plans.
- Proven ability to define data governance artifacts including metadata, authoritative sources, data quality rules, security requirements, and data lineage/flows.
- Experience profiling and transforming data using languages such as Python or SAS and/or tools such as Alteryx.
- Strong stakeholder management skills with experience delivering reporting or analytics products to business users.
- Ability to lead design, testing, and deployment activities while managing operational risk and controls expectations.
Preferred qualifications, capabilities, and skills
- Broad expertise in data technologies such as data warehousing, ETL, data quality concepts, business intelligence, analytics tooling, unstructured data, and machine learning.
- Technical understanding of relational database systems such as Teradata and Oracle.
- Hands-on experience with data modeling techniques and tools.
- Excellent command of SQL.
- Advanced analytical thinking and problem-solving skills.
- Strong interpersonal and communication skills.
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 78+ Data Science Lead at JPMorganChase jobs
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Get Access To All JobsTips for Finding Data Science Lead Jobs at JPMorganChase Jobs
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.
Data Science Lead at JPMorganChase jobs are hiring across the US. Find yours.
Find Data Science Lead at JPMorganChase JobsFrequently 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 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.
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